=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
When you save the notebook, an HTML file containing the code and
output will be saved alongside it (click the Preview button or
press Cmd+Shift+K to preview the HTML file).
The preview shows you a rendered HTML copy of the contents of the
editor. Consequently, unlike Knit, Preview does not
run any R code chunks. Instead, the output of the chunk when it was last
run in the editor is displayed.
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> Stashed changes
Checking Effectiveness of Imputation Method
<<<<<<< Updated upstream
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
# Data of Wave 5
WV5_data <- readRDS("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/F00007944-WV5_Data_R_v20180912.rds")
# Convert WV5_data-object in data.frame
WV5_data_df <- as.data.frame(WV5_data)
# show first five columns
WV5_data_df
<<<<<<< HEAD
=======
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
#rename the variables
WV5_data <- WV5_data_df %>%
rename(gender = V235, age = V237, country_code = V2, wave = V1, risktaking = V86, children = V56, married = V55, employed = V241, education = V238)
<<<<<<< HEAD
WV5_data
colnames(WV5_data)
#select only the variables of interest
=======
WV5_data
colnames(WV5_data)
[1] "wave" "V1A" "V1B" "country_code" "V2A" "V3" "V4" "V4_CO" "V5"
[10] "V5_CO" "V6" "V6_CO" "V7" "V7_CO" "V8" "V8_CO" "V9" "V9_CO"
[19] "V10" "V11" "V12" "V13" "V14" "V15" "V16" "V17" "V18"
[28] "V19" "V20" "V21" "V22" "V23" "V24" "V25" "V26" "V27"
[37] "V28" "V29" "V30" "V31" "V32" "V33" "V34" "V35" "V36"
[46] "V37" "V38" "V39" "V40" "V41" "V42" "V43" "V43_01" "V43_02"
[55] "V43_03" "V43_04" "V43_05" "V43_06" "V43_07" "V43_08" "V43_09" "V43_10" "V43_11"
[64] "V43_12" "V43_13" "V43_14" "V43_15" "V43_16" "V43_17" "V43_18" "V43_19" "V43_20"
[73] "V43_21" "V43_22" "V43_23" "V43_24" "V43_25" "V43_26" "V43_27" "V43_28" "V43_29"
[82] "V43_30" "V44" "V45" "V46" "V47" "V48" "V49" "V50" "V51"
[91] "V52" "V53" "V54" "married" "children" "V57" "V58" "V59" "V60"
[100] "V61" "V62" "V63" "V64" "V65" "V66" "V67" "V68" "V69"
[109] "V69_HK" "V70" "V70_HK" "V71" "V72" "V73" "V73_HK" "V74" "V74_HK"
[118] "V75" "V76" "V77" "V78" "V79" "V80" "V81" "V82" "V83"
[127] "V84" "V85" "risktaking" "V87" "V88" "V89" "V90" "V91" "V92"
[136] "V93" "V94" "V95" "V96" "V97" "V98" "V99" "V100" "V101"
[145] "V102" "V103" "V104" "V105" "V106" "V107" "V108" "V109" "V110"
[154] "V111" "V112" "V113" "V114" "V115" "V116" "V117" "V118" "V119"
[163] "V120" "V121" "V122" "V123" "V124" "V125" "V126" "V127" "V128"
[172] "V129" "V130" "V130_CA_1" "V130_IQ_1" "V130_IQ_2" "V130_IQ_3" "V130_IQ_4" "V130_NZ_1" "V130_NZ_2"
[181] "V131" "V132" "V133" "V134" "V135" "V136" "V137" "V138" "V139"
[190] "V140" "V141" "V142" "V143" "V144" "V145" "V146_00" "V146_01" "V146_02"
[199] "V146_03" "V146_04" "V146_05" "V146_06" "V146_07" "V146_08" "V146_09" "V146_10" "V146_11"
[208] "V146_12" "V146_13" "V146_14" "V146_15" "V146_16" "V146_17" "V146_18" "V146_19" "V146_20"
[217] "V146_21" "V146_22" "V147" "V148" "V149" "V150" "V151" "V151_IQ_A" "V151_IQ_B"
[226] "V152" "V153" "V154" "V155" "V156" "V157" "V158" "V159" "V160"
[235] "V161" "V162" "V163" "V164" "V165" "V166" "V167" "V168" "V169"
[244] "V170" "V171" "V172" "V173" "V174" "V175" "V176" "V177" "V178"
[253] "V179" "V180" "V181" "V182" "V183" "V184" "V185" "V186" "V187"
[262] "V188" "V189" "V190" "V191" "V192" "V193" "V194" "V195" "V196"
[271] "V197" "V198" "V199" "V200" "V201" "V202" "V203" "V204" "V205"
[280] "V206" "V207" "V208" "V209" "V210" "V211" "V212" "V213A" "V213B"
[289] "V213C" "V213D" "V213E" "V213F" "V213G" "V213H" "V213K" "V213L" "V213M"
[298] "V213N" "V214" "V215" "V216" "V217" "V218" "V219" "V220" "V221"
[307] "V222" "V223" "V224" "V225" "V226" "V227" "V228" "V229" "V230"
[316] "V231" "V232" "V233" "V233A" "V234" "gender" "V236" "age" "education"
[325] "V238CS" "V239" "V240" "employed" "V242" "V242A_CO" "V243" "V244" "V245"
[334] "V246" "V247" "V248" "V249" "V250" "V251" "V252" "V252B" "V253"
[343] "V253CS" "V254" "V255" "V255CS" "V256" "V257" "V257B" "V257C" "V258"
[352] "V259" "V259A" "V260" "V261" "V262" "V263" "V264" "V265" "S024"
[361] "S025" "Y001" "Y002" "Y003" "SACSECVAL" "SECVALWGT" "RESEMAVAL" "WEIGHTB" "I_AUTHORITY"
[370] "I_NATIONALISM" "I_DEVOUT" "DEFIANCE" "WEIGHT1A" "I_RELIGIMP" "I_RELIGBEL" "I_RELIGPRAC" "DISBELIEF" "WEIGHT2A"
[379] "I_NORM1" "I_NORM2" "I_NORM3" "RELATIVISM" "WEIGHT3A" "I_TRUSTARMY" "I_TRUSTPOLICE" "I_TRUSTCOURTS" "SCEPTICISM"
[388] "WEIGHT4A" "I_INDEP" "I_IMAGIN" "I_NONOBED" "AUTONOMY" "WEIGHT1B" "I_WOMJOB" "I_WOMPOL" "I_WOMEDU"
[397] "EQUALITY" "WEIGHT2B" "I_HOMOLIB" "I_ABORTLIB" "I_DIVORLIB" "CHOICE" "WEIGHT3B" "I_VOICE1" "I_VOICE2"
[406] "I_VOI2_00" "VOICE" "WEIGHT4B" "S001" "S007" "S018" "S019" "S021" "COW"
#select only the variables of interest
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
WV5_data <- WV5_data %>%
dplyr::select(gender, age, country_code, wave, risktaking, children, married, employed, education)
WV5_data
<<<<<<< HEAD
# Read countrynames data from the CSV file (to decode the dataset 5)
countrynames <- read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header = FALSE, as.is = TRUE)
colnames(countrynames) <- c("code", "name")
# Assuming WV5_data has a column named country_code
WV5_data$country <- countrynames$name[match(WV5_data$country_code, countrynames$code)]
# Check the frequency of each country in the new column
table(WV5_data$country)
# Display the updated WV5_data
print(WV5_data)
=======
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
#Read Dataset (Wave 6)
WV6_data <- load("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/WV6_Data_R_v20201117.rdata")
WV6_data <- WV6_Data_R_v20201117
print(WV6_data)
<<<<<<< HEAD
=======
#Read Dataset (Wave 6)
WV6_data <- load("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/WV6_Data_R_v20201117.rdata")
WV6_data <- WV6_Data_R_v20201117
print(WV6_data)
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
WV6_data <- WV6_data %>%
rename(wave = V1, gender = V240, age = V242,country_code = V2, risktaking = V76, children = V58, married = V57, employed = V229, education = V248)
#select only the variables of interest
WV6_data <- WV6_data %>%
dplyr::select(wave, gender, age, country_code,risktaking, children, married, employed, education)
WV6_data
countrynames = read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header=FALSE,as.is=TRUE)
colnames(countrynames) = c("code", "name")
WV6_data$country = countrynames$name [match(WV6_data$country_code, countrynames$code)]
table(WV6_data$country)
WV6_data
<<<<<<< HEAD
WV5_data
WV6_data
WVS_data = rbind(WV5_data, WV6_data)
WVS_data
unique(WVS_data$age)
range(WVS_data$age)
=======
WVS_data = rbind(WV5_data, WV6_data)
WVS_data
country_counts <- WVS_data %>%
count(country)
# Print the result
print(country_counts)
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
WVS_data = subset(WVS_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave5 = subset(WV5_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave6 = subset(WV6_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
WVS_data <- na.omit(WVS_data)
data_Wave5 <- na.omit(data_Wave5)
data_Wave6 <- na.omit(data_Wave6)
# Use the mutate function to change the country name
WVS_data <- WVS_data %>%
mutate(country = ifelse(country == "Great Britain", "United Kingdom", country))
<<<<<<< HEAD
# Transfrom risk item such that high values represent more risk taking
WVS_data$risktaking = 6 - WVS_data$risktaking + 1
# Transform risk variable into T-score (mean = 50, sd = 10)
WVS_data$T_score_risktaking = 10*scale(WVS_data$risktaking, center=TRUE,scale=TRUE)+50
WVS_data
#Transform risk variable into Z score
# Assuming T-scores have a mean of 50 and a standard deviation of 10
WVS_data$Z_score_risktaking = (WVS_data$T_score_risktaking - 50) / 10
# Print the resulting data frame
print(WVS_data)
WVS_data <- WVS_data %>%
group_by(country) %>%
mutate(z_score_age = scale(age))
WVS_data
=======
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
unique(WVS_data$country)
<<<<<<< HEAD
WVS_mixed_model <- left_join(WVS_data, hardship, by = "country")
WVS_mixed_model
head(WVS_mixed_model)
library(lmerTest)
# intercept only model
model0 = lmer(Z_score_risktaking ~ 1 + (1|country),data = WVS_mixed_model)
summary_model0=summary(model0)
summary_model0
=======
[1] "Andorra" "Argentina" "Australia" "Brazil" "Bulgaria"
[6] "Burkina Faso" "Canada" "Cyprus (G)" "Chile" "China"
[11] "Egypt" "Ethiopia" "Finland" "France" "Georgia"
[16] "Germany" "Ghana" "Hungary" "India" "Indonesia"
[21] "Iran" "Japan" "Malaysia" "Mali" "Mexico"
[26] "Moldova" "Morocco" "Netherlands" "Norway" "Peru"
[31] "Poland" "Romania" "Russia" "Rwanda" "Slovenia"
[36] "South Africa" "South Korea" "Spain" "Sweden" "Switzerland"
[41] "Taiwan" "Thailand" "Trinidad and Tobago" "Turkey" "Ukraine"
[46] "United Kingdom" "Uruguay" "Viet Nam" "Zambia" "Algeria"
[51] "Armenia" "Azerbaijan" "Belarus" "Colombia" "Ecuador"
[56] "Estonia" "Haiti" "Iraq" "Jordan" "Kazakhstan"
[61] "Kuwait" "Kyrgyzstan" "Lebanon" "Libya" "New Zealand"
[66] "Nigeria" "Pakistan" "Palestine" "Philippines" "Qatar"
[71] "Singapore" "Tunisia" "United States" "Uzbekistan" "Yemen"
[76] "Zimbabwe"
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
# age, sex
model1 = lmer(T_score_risktaking ~ 1 +scale(age)+factor(gender) + (1+scale(age)+factor(gender)|country),data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa"))
summary_model1=summary(model1)
summary_model1
<<<<<<< HEAD
=======
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: T_score_risktaking ~ 1 + scale(age) + factor(gender) + (1 + scale(age) + factor(gender) | country)
Data: WVS_mixed_model
Control: lmerControl(optimizer = "bobyqa")
REML criterion at convergence: 1081364
Scaled residuals:
Min 1Q Median 3Q Max
-2.4737 -0.7821 -0.0770 0.7536 3.2222
Random effects:
Groups Name Variance Std.Dev. Corr
country (Intercept) 6.6199 2.5729
scale(age) 0.7621 0.8730 0.30
factor(gender)1 0.8747 0.9353 0.13 0.27
Residual 84.6046 9.1981
Number of obs: 148527, groups: country, 76
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 51.4031 0.2977 75.2144 172.66 <2e-16 ***
scale(age) -2.0093 0.1042 73.1211 -19.28 <2e-16 ***
factor(gender)1 -2.3174 0.1194 72.3693 -19.41 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) scl(g)
scale(age) 0.291
fctr(gndr)1 0.072 0.236
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
#model 2
library(lme4)
library(lme4)
library(lmerTest)
# Define the lmer model and assign it to 'model_2'
model_2 <- lmer(T_score_risktaking ~ 1 + scale(age) + factor(gender) + factor(children) +
factor(married) + factor(education) + factor(employed) +
(1 + scale(age) + factor(gender) + factor(children) + factor(employed) +
factor(married) | country),
data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
# Display the summary of the model
summary_model_2 = summary(model_2)
summary_model_2
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: T_score_risktaking ~ 1 + scale(age) + factor(gender) + factor(children) +
factor(married) + factor(education) + factor(employed) +
(1 + scale(age) + factor(gender) + factor(children) + factor(employed) + factor(married) | country)
Data: WVS_mixed_model
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+05))
REML criterion at convergence: 1079996
Scaled residuals:
Min 1Q Median 3Q Max
-2.5457 -0.7815 -0.0813 0.7425 3.1678
Random effects:
Groups Name Variance Std.Dev. Corr
country (Intercept) 5.4671 2.3382
scale(age) 0.5367 0.7326 0.24
factor(gender)1 0.9298 0.9642 0.03 0.24
factor(children)1 0.7895 0.8885 0.07 0.19 0.11
factor(employed)1 0.3133 0.5597 0.04 0.03 0.02 -0.27
factor(married)1 0.4120 0.6419 0.22 0.43 0.57 0.20 -0.13
Residual 83.7217 9.1500
Number of obs: 148527, groups: country, 76
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 5.204e+01 2.809e-01 8.000e+01 185.238 < 2e-16 ***
scale(age) -1.478e+00 9.081e-02 7.228e+01 -16.275 < 2e-16 ***
factor(gender)1 -2.171e+00 1.234e-01 7.259e+01 -17.597 < 2e-16 ***
factor(children)1 -1.274e+00 1.284e-01 7.199e+01 -9.920 4.14e-15 ***
factor(married)1 -8.367e-01 9.872e-02 6.267e+01 -8.475 5.49e-12 ***
factor(education)1 7.809e-01 6.489e-02 1.407e+05 12.033 < 2e-16 ***
factor(employed)1 1.056e-01 8.590e-02 7.071e+01 1.229 0.223
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) scl(g) fctr(g)1 fctr(c)1 fctr(mr)1 fctr(d)1
scale(age) 0.224
fctr(gndr)1 -0.022 0.212
fctr(chld)1 -0.016 0.047 0.032
fctr(mrrd)1 0.134 0.297 0.409 -0.083
fctr(dctn)1 -0.172 0.081 0.013 0.026 -0.013
fctr(mply)1 -0.029 0.061 0.083 -0.203 -0.099 -0.063
WVS_mixed_model
NA
NA
# age, sex
model1 = lmer(T_score_risktaking ~ 1 +scale(age)+factor(gender) + (1+scale(age)+factor(gender)|country),data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa"))
summary_model1=summary(model1)
summary_model1
=======
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
<<<<<<< HEAD
model_3 <- lmer(T_score_risktaking ~ 1 + scale(z_score_age) * hardship_index +
factor(gender) * hardship_index + factor(married) + factor(children) +
factor(education) + factor(employed) +
(1 + scale(z_score_age) + factor(married) + factor(children) +
factor(education) + factor(employed) | country),
data = WVS_mixed_model)
summary(model_3)
=======
model_3 <- lmer(T_score_risktaking ~ 1 + scale(age) * hardship_index +
factor(gender) * hardship_index + factor(married) + factor(children) +
factor(education) + factor(employed) +
(1 + scale(age) + factor(married) + factor(children) +
factor(education) + factor(employed) | country),
data = WVS_mixed_model,control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
summary_model_3 = summary(model_3)
summary_model_3
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: T_score_risktaking ~ 1 + scale(age) * hardship_index + factor(gender) *
hardship_index + factor(married) + factor(children) + factor(education) +
factor(employed) + (1 + scale(age) + factor(married) + factor(children) + factor(education) + factor(employed) | country)
Data: WVS_mixed_model
Control: lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+05))
REML criterion at convergence: 1080093
Scaled residuals:
Min 1Q Median 3Q Max
-2.57571 -0.78110 -0.08036 0.74750 3.13409
Random effects:
Groups Name Variance Std.Dev. Corr
country (Intercept) 5.5510 2.3561
scale(age) 0.3952 0.6286 0.17
factor(married)1 0.4028 0.6347 0.13 0.13
factor(children)1 0.8063 0.8980 0.09 0.06 0.25
factor(education)1 0.6332 0.7957 -0.20 0.03 0.07 -0.13
factor(employed)1 0.2881 0.5368 0.00 0.08 -0.29 -0.25 0.16
Residual 83.8078 9.1547
Number of obs: 148527, groups: country, 76
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 5.204e+01 2.862e-01 7.433e+01 181.838 < 2e-16 ***
scale(age) -1.442e+00 8.035e-02 7.109e+01 -17.949 < 2e-16 ***
hardship_index 4.588e-01 3.840e-01 7.514e+01 1.195 0.236
factor(gender)1 -2.081e+00 5.032e-02 1.285e+05 -41.359 < 2e-16 ***
factor(married)1 -8.145e-01 9.857e-02 6.114e+01 -8.263 1.53e-11 ***
factor(children)1 -1.302e+00 1.292e-01 7.512e+01 -10.070 1.39e-15 ***
factor(education)1 7.768e-01 1.205e-01 5.044e+01 6.447 4.24e-08 ***
factor(employed)1 1.031e-01 8.357e-02 6.975e+01 1.233 0.222
scale(age):hardship_index 4.751e-01 1.122e-01 7.216e+01 4.233 6.68e-05 ***
hardship_index:factor(gender)1 5.799e-01 6.902e-02 6.340e+04 8.403 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation of Fixed Effects:
(Intr) scl(g) hrdsh_ fctr(g)1 fctr(mr)1 fctr(c)1 fctr(d)1 fctr(mp)1 sc():_
scale(age) 0.158
hardshp_ndx 0.067 0.034
fctr(gndr)1 -0.098 0.042 0.002
fctr(mrrd)1 0.066 0.078 -0.005 0.044
fctr(chld)1 0.005 -0.062 -0.003 -0.087 -0.054
fctr(dctn)1 -0.285 0.080 0.014 0.016 0.030 -0.069
fctr(mply)1 -0.056 0.095 0.006 0.145 -0.190 -0.186 0.046
scl(g):hrd_ 0.032 0.091 0.191 0.002 -0.005 0.005 -0.002 -0.035
hrdshp_:()1 -0.002 0.011 -0.092 0.057 -0.012 -0.006 0.006 0.030 0.023
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
<<<<<<< HEAD
anova(model0,model1)
anova(model1,model_2)
anova(model_2,model_3)
=======
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
random_effects <- ranef(model_2)
random_effects
$country
(Intercept) scale(age) factor(gender)1 factor(children)1 factor(employed)1 factor(married)1
Algeria 1.93351855 -0.854619155 0.87619718 -2.437881334 0.17698875 -0.377226443
Andorra 1.91309921 0.100909057 -0.66981587 -0.632350380 0.20524734 -0.686912835
Argentina -1.57325789 0.057299092 -0.25780065 -1.067941885 -0.04621841 -0.553872390
Armenia 1.08284389 -0.454274344 -0.89771357 -0.834967062 0.17426467 -0.250770715
Australia -0.14386428 -0.471375287 -1.06538548 -0.103260090 0.34608388 -0.365152174
Azerbaijan 0.45573171 0.004004243 -2.44218293 0.082693851 -0.21915868 -0.476480146
Belarus -0.11536490 -1.000016058 -1.08120720 -0.467055853 -0.59713729 -0.046875401
Brazil -2.84287325 0.262612027 -0.36729059 -0.148830175 -0.34944728 -0.655399532
Bulgaria -0.77688584 -0.074197571 0.35410308 0.108171529 0.66545761 -0.168532781
Burkina Faso 1.61422833 1.156372503 -0.15049497 0.527033659 -0.25535458 0.423175478
Canada 0.39907784 -0.397232782 -1.02665629 -0.204786757 0.83298979 -0.733722779
Chile 1.03350248 -0.644167015 0.06242265 -1.191152814 0.30273676 0.182724595
China -2.09375223 -0.445731013 0.50663419 -0.603547862 -0.41625835 -0.223192477
Colombia 0.22689773 0.422663335 -0.91548157 -0.850065668 0.05700229 -0.046926087
Cyprus (G) 2.25496876 -0.776460854 -0.79745197 0.050374871 0.20526698 -0.994122261
Ecuador 2.25294069 -0.040563584 0.75768462 1.082273600 -0.18216772 0.606966414
Egypt -3.93763995 0.877857068 1.47333952 -0.977664255 0.69617277 0.506927589
Estonia -1.06399862 -0.805260418 -0.20652339 -0.596528530 0.04115956 -0.263441563
Ethiopia 0.32293567 0.946455342 1.98005066 -0.482906872 1.19465275 0.520837889
Finland -2.30711075 -0.193362752 0.06835226 0.109995921 -0.09624712 -0.446129133
France -0.03262671 -0.315869185 -0.97254579 -0.756893462 -0.18841330 -0.721010031
Georgia -0.34804857 0.313082762 -1.59932353 0.785006390 0.24885966 -0.322662614
Germany -2.81688356 -0.866667483 -0.56600732 -0.067064088 0.10227997 -0.540483663
Ghana 4.20166977 0.817382387 1.03493510 1.320604468 0.06952553 0.935149120
Haiti -6.53977492 -1.391127796 1.91289649 1.468940014 -0.89280260 0.533482158
Hungary -1.99653091 -0.996752173 -0.17049773 -0.160714296 0.07124129 -0.186539589
India 1.43482568 0.617405603 0.45019893 1.836342889 -1.09159157 0.408036403
Indonesia 2.91129285 0.717729512 -0.37251725 0.036310599 0.61487372 0.351255947
Iran 0.25704414 -0.273465758 0.84529203 -0.730085449 0.58356967 -0.185573571
Iraq -1.06492016 0.012316662 0.43906584 0.138047194 -0.32549734 0.649008088
Japan -6.33127212 0.980885912 -0.11206958 0.564989629 -0.44804909 -0.169376931
Jordan 1.80284181 -0.238660302 -0.04733756 -0.275114119 0.13106070 0.079727138
Kazakhstan -2.61497176 0.099878889 0.38099799 -0.441649153 0.38909549 0.080016173
Kuwait 2.09145419 -1.486900320 0.10785659 0.216244412 -0.71982856 -0.372559647
Kyrgyzstan 0.61067751 1.072544199 1.07198178 0.701056752 -0.33081703 0.900953951
Lebanon 2.84470796 -0.023345343 0.08714121 0.523974067 -0.06162559 0.535210026
Libya 0.80327073 -0.475177836 -0.57060729 0.015373078 0.24676530 -0.259391475
Malaysia -2.02257329 0.667498135 0.69083376 0.230243197 -0.12134511 0.648213460
Mali 2.81563100 1.078784421 1.36765639 0.245910074 -0.30999444 1.287801120
Mexico -0.40013922 0.561817933 -0.55226850 -1.131405064 0.01974498 -0.487453888
Moldova -1.96423291 -0.329843137 1.07398956 -0.873396236 0.07687739 0.075323668
Morocco 0.68539027 0.249483178 -0.44534432 -0.309370915 0.01082943 -0.178509821
Netherlands -2.06588418 -0.228085056 -0.89179246 0.412747451 -0.17127304 -0.633635212
New Zealand 0.60732681 -0.774713993 0.04302897 -0.175577939 -0.11512608 -0.279411963
Nigeria 5.59377567 1.275958637 1.62013094 0.389674844 0.37813269 1.361593143
Norway 0.99797819 -0.771979285 0.88446601 -0.045167601 -0.33921268 -0.013483356
Pakistan 4.22659980 1.325790041 0.51442825 0.928501617 -0.97792666 0.666654501
Palestine 0.03194219 -0.494835906 -0.14515969 0.292953341 0.50604479 -0.015691232
Peru -1.61516779 0.633332407 -0.68009631 -0.717362556 -0.39962778 -0.181622730
Philippines 3.70377389 0.943369150 1.13088110 0.747509770 -0.08964864 0.356984425
Poland 2.19905667 0.037084593 -0.45404816 -0.900087529 0.25558657 0.232224025
Qatar 0.86028228 0.502376889 -0.94153784 0.200394431 0.45200189 -0.086160547
Romania -2.52089552 -0.155453441 -0.24318156 -0.213424238 0.59038608 -0.046222935
Russia -0.03564662 0.201433455 -0.04277014 0.338525048 0.55241645 -0.367819701
Rwanda 0.83617515 1.171444046 1.19476510 1.697279263 -0.29018529 0.335814980
Singapore 2.17597132 0.591444549 0.38684581 -0.017294940 -0.08165496 0.363947899
Slovenia 0.21102243 -1.245719908 -0.62662173 -0.617380784 0.28218849 -1.002740221
South Africa 2.37631040 0.311956458 1.26337006 1.080146122 0.68094981 0.751652547
South Korea 1.36893323 -0.405664050 0.80080531 0.341944092 -0.04931702 0.322300385
Spain 0.82809176 -0.466229484 0.62854866 -0.304041861 0.09422269 -0.358645793
Sweden 0.09920433 -0.328664254 -0.47169418 -0.328195601 -0.42679317 -0.438405460
Switzerland -1.56290696 0.084346338 -1.48036381 0.605515233 0.14178415 -0.884764664
Taiwan -4.35319381 -0.569177868 -0.09471962 -0.003120567 -0.38488863 -0.220827542
Thailand -0.09358157 0.844688730 1.30128241 0.253396867 -0.53318528 1.057267847
Trinidad and Tobago 0.24160167 -0.343056024 -0.36770149 1.121472297 0.13881740 0.059010394
Tunisia -0.42814434 -1.362242692 -0.53278180 -0.600878765 -0.28277064 -0.244015679
Turkey 0.94251912 0.120341608 0.37598170 -0.387346063 0.29373891 0.028586139
Ukraine -1.58175919 -0.668879956 -0.36649799 -0.519892277 0.26972976 -0.001257245
United Kingdom 1.15668394 -0.030727372 -1.56593196 -0.489635482 0.10560093 -0.751106765
United States -0.70200525 -0.752298720 -0.40433841 0.416924321 0.25359660 -0.253434481
Uruguay -3.20629770 -0.108243534 0.34971574 -0.439094936 -0.31919572 -0.167863204
Uzbekistan 1.00109484 0.687012035 -0.28533330 0.716274322 0.20755393 0.141926144
Viet Nam -3.44301278 0.598580704 -0.35309866 0.622440999 -0.56204886 0.334138408
Yemen -3.91719513 0.062896576 -0.10339324 -0.646218561 -0.08885691 -0.219935374
Zambia 1.41695079 0.455513249 0.41766478 1.043367849 -0.57988565 1.261564524
Zimbabwe 1.68856739 0.396489975 -1.11595904 0.496697944 -0.32194635 -0.119112532
with conditional variances for “country”
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
# Extract random effects for 'country'
# Assuming 'model' is your fitted lmer model
random_effects <- ranef(model_2)
random_effects
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
colnames(random_effects)
NULL
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> Stashed changes
regression_results_WVS <- WVS_data %>%
group_by(country) %>%
do(model = lm(Z_score_risktaking ~ scale(age) + gender, data = .)) %>%
summarize(
country = first(country),
intercept_regression = coef(summary(model))[1, 1],
slope_age_regression = coef(summary(model))[2, 1],
slope_gender_regression = coef(summary(model))[3, 1]
)
regression_results_WVS
random_effects <- ranef(model_2)
random_effects
colnames(random_effects)
<<<<<<< Updated upstream
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
coefsallmodels=rbind(summary_model1$coefficients,
summary_model_2$coefficients,
summary_model_3$coefficients[c(1:2,4:8,3,9:10),])
write.csv(coefsallmodels,"coefsallmodels.csv")
# Read the CSV file into a data frame
gbd_mentalhealth <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/GBD_mentalhealth.xlsx")
gbd_mentalhealth
#select only the variables of interest
gbd_mentalhealth <- gbd_mentalhealth %>%
dplyr::select(country, gender, age, cause, val, Measure)
gbd_mentalhealth
library(dplyr)
# Group data by country and age group, and calculate summary statistics
summary_by_country_age <- gbd_mentalhealth %>%
group_by(country, age) %>%
summarise(
mean_DALYs = mean(val)) # Calculate mean of DALYs
library(dplyr)
# Assuming 'summary_by_country_age' contains your summarized dataset
mean_by_country <- summary_by_country_age %>%
group_by(country) %>%
summarise(mean_DALYs = mean(mean_DALYs))
# View the resulting mean by country
print(mean_by_country)
#log transform
mean_by_country$mean_DALYs=log(mean_by_country$mean_DALYs)
mean_by_country
#Reverse codierung
mean_by_country$mean_DALYs=scale(mean_by_country$mean_DALYs)
mean_by_country
#rename mean_DALYS
mental_health_index <- mean_by_country %>%
rename('mental_health' = mean_DALYs)
mental_health_index
library(dplyr)
#######Anxiety disorders#########
#Filter data for a specific mental disorder (e.g., Anxiety Disorders)
anxiety_disorders <- gbd_mentalhealth %>%
filter(cause == "Anxiety disorders") # Change "Anxiety Disorders" to the desired disorder
# Calculate the mean of 'val' (Disability-Adjusted Life Years) across locations and ages
mean_DALYs <- mean(anxiety_disorders$val)
# Optionally, if you want to calculate mean by country:
anxiety_disorders <- anxiety_disorders %>%
group_by(country) %>%
summarise(mean_Anxiety_disorders = mean(val))
anxiety_disorders
#log transform
anxiety_disorders$mean_Anxiety_disorders=log(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
#Reverse codierung
anxiety_disorders$mean_Anxiety_disorders=scale(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
mental_health_index
gbd_mentalhealth
# Assuming gbd_mentalhealth is your data frame containing the 'cause' column
# Get unique values of 'cause' column
unique_causes <- unique(gbd_mentalhealth$cause)
# Create a data frame with unique causes
cause_table <- data.frame(Cause = unique_causes)
# Print the cause table
print(cause_table)
#######Bulimia nervosa########
library(dplyr)
# Filter the data for 'Bulimia Nervosa'
bulimia_nervosa <- gbd_mentalhealth %>%
filter(cause == "Bulimia nervosa")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bulimia_nervosa$val)
# Optionally, calculate mean by country
bulimia_nervosa <- bulimia_nervosa %>%
group_by(country) %>%
summarise(mean_bulimia_nervosa = mean(val))
# Log transform the mean_bulimia_nervosa column
bulimia_nervosa$mean_bulimia_nervosa <- log(bulimia_nervosa$mean_bulimia_nervosa)
# Scale the mean_bulimia_nervosa column (if needed)
bulimia_nervosa$mean_bulimia_nervosa <- scale(bulimia_nervosa$mean_bulimia_nervosa)
# Print the resulting data frame
print(bulimia_nervosa)
print(anxiety_disorders)
gbd_mentalhealth
#####Attention-deficit/hyperactivity disorder
library(dplyr)
ADHD <- gbd_mentalhealth %>%
filter(cause == "Attention-deficit/hyperactivity disorder")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(ADHD$val)
# Optionally, calculate mean by country
ADHD <- ADHD %>%
group_by(country) %>%
summarise(mean_ADHD = mean(val))
# Log transform the mean_bulimia_nervosa column
ADHD$mean_ADHD <- log(ADHD$mean_ADHD)
# Scale the mean_bulimia_nervosa column (if needed)
ADHD$mean_ADHD <- scale(ADHD$mean_ADHD)
# Print the resulting data frame
print(ADHD)
#########Idiopathic development intellectual ability
library(dplyr)
Idiopathic_developmental_intellectual_disability <- gbd_mentalhealth %>%
filter(cause == "Idiopathic developmental intellectual disability")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(Idiopathic_developmental_intellectual_disability$val)
# Optionally, calculate mean by country
Idiopathic_developmental_intellectual_disability <- Idiopathic_developmental_intellectual_disability %>%
group_by(country) %>%
summarise(mean_Idiopathic_developmental_intellectual_disability = mean(val))
# Log transform the mean_bulimia_nervosa column
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- log(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)
# Scale the mean_bulimia_nervosa column (if needed)
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- scale(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)
# Print the resulting data frame
print(Idiopathic_developmental_intellectual_disability)
######Anorexia Nervosa
anorexia_nervosa <- gbd_mentalhealth %>%
filter(cause == "Anorexia nervosa")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(anorexia_nervosa$val)
# Optionally, calculate mean by country
anorexia_nervosa <- anorexia_nervosa %>%
group_by(country) %>%
summarise(mean_anorexia_nervosa = mean(val))
# Log transform the mean_bulimia_nervosa column
anorexia_nervosa$mean_anorexia_nervosa <- log(anorexia_nervosa$mean_anorexia_nervosa)
# Scale the mean_bulimia_nervosa column (if needed)
anorexia_nervosa$mean_anorexia_nervosa <- scale(anorexia_nervosa$mean_anorexia_nervosa)
# Print the resulting data frame
print(anorexia_nervosa)
#####Depressive disorders#######
depressive_disorders <- gbd_mentalhealth %>%
filter(cause == "Depressive disorders")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(depressive_disorders$val)
# Optionally, calculate mean by country
depressive_disorders <- depressive_disorders %>%
group_by(country) %>%
summarise(mean_depressive_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
depressive_disorders$mean_depressive_disorders <- log(depressive_disorders$mean_depressive_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
depressive_disorders$mean_depressive_disorders <- scale(depressive_disorders$mean_depressive_disorders)
# Print the resulting data frame
print(depressive_disorders)
#######Autismus spectrum disorders######
autismus_spectrum_disorders <- gbd_mentalhealth %>%
filter(cause == "Autism spectrum disorders")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(autismus_spectrum_disorders$val)
# Optionally, calculate mean by country
autismus_spectrum_disorders <- autismus_spectrum_disorders %>%
group_by(country) %>%
summarise(mean_autismus_spectrum_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- log(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- scale(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)
# Print the resulting data frame
print(autismus_spectrum_disorders)
######Schizophrenia#######
schizophrenia <- gbd_mentalhealth %>%
filter(cause == "Schizophrenia")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(schizophrenia$val)
# Optionally, calculate mean by country
schizophrenia <- schizophrenia %>%
group_by(country) %>%
summarise(mean_schizophrenia = mean(val))
# Log transform the mean_bulimia_nervosa column
schizophrenia$mean_schizophrenia <- log(schizophrenia$mean_schizophrenia)
# Scale the mean_bulimia_nervosa column (if needed)
schizophrenia$mean_schizophrenia <- scale(schizophrenia$mean_schizophrenia)
# Print the resulting data frame
print(schizophrenia)
#######Conduct disorders#########
conduct_disorders <- gbd_mentalhealth %>%
filter(cause == "Conduct disorder")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(conduct_disorders$val)
# Optionally, calculate mean by country
conduct_disorders <- conduct_disorders %>%
group_by(country) %>%
summarise(mean_conduct_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
conduct_disorders$mean_conduct_disorders <- log(conduct_disorders$mean_conduct_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
conduct_disorders$mean_conduct_disorders <- scale(conduct_disorders$mean_conduct_disorders)
# Print the resulting data frame
print(conduct_disorders)
########Eating disorders#########
eating_disorders <- gbd_mentalhealth %>%
filter(cause == "Eating disorders")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(eating_disorders$val)
# Optionally, calculate mean by country
eating_disorders <- eating_disorders %>%
group_by(country) %>%
summarise(mean_eating_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
eating_disorders$mean_eating_disorders <- log(eating_disorders$mean_eating_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
eating_disorders$mean_eating_disorders <- scale(eating_disorders$mean_eating_disorders)
# Print the resulting data frame
print(eating_disorders)
########Bipolar disorder#########
bipolar_disorder <- gbd_mentalhealth %>%
filter(cause == "Bipolar disorder")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bipolar_disorder$val)
# Optionally, calculate mean by country
bipolar_disorder <- bipolar_disorder %>%
group_by(country) %>%
summarise(mean_bipolar_disorder = mean(val))
# Log transform the mean_bulimia_nervosa column
bipolar_disorder$mean_bipolar_disorder <- log(bipolar_disorder$mean_bipolar_disorder)
# Scale the mean_bulimia_nervosa column (if needed)
bipolar_disorder$mean_bipolar_disorder <- scale(bipolar_disorder$mean_bipolar_disorder)
# Print the resulting data frame
print(bipolar_disorder)
print(cause_table)
########Substance use disorders########
substance_use_disorders <- gbd_mentalhealth %>%
filter(cause == "Substance use disorders")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(substance_use_disorders$val)
# Optionally, calculate mean by country
substance_use_disorders <- substance_use_disorders %>%
group_by(country) %>%
summarise(mean_substance_use_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
substance_use_disorders$mean_substance_use_disorders <- log(substance_use_disorders$mean_substance_use_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
substance_use_disorders$mean_substance_use_disorders <- scale(substance_use_disorders$mean_substance_use_disorders)
# Print the resulting data frame
print(substance_use_disorders)
####Drug use disorders
drug_use_disorders <- gbd_mentalhealth %>%
filter(cause == "Drug use disorders")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(drug_use_disorders$val)
# Optionally, calculate mean by country
drug_use_disorders <- drug_use_disorders %>%
group_by(country) %>%
summarise(mean_drug_use_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
drug_use_disorders$mean_drug_use_disorders <- log(drug_use_disorders$mean_drug_use_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
drug_use_disorders$mean_drug_use_disorders <- scale(drug_use_disorders$mean_drug_use_disorders)
# Print the resulting data frame
print(drug_use_disorders)
##########Alcohol use disorders
alcohol_use_disorders <- gbd_mentalhealth %>%
filter(cause == "Alcohol use disorders")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(alcohol_use_disorders$val)
# Optionally, calculate mean by country
alcohol_use_disorders <- alcohol_use_disorders %>%
group_by(country) %>%
summarise(mean_alcohol_use_disorders = mean(val))
# Log transform the mean_bulimia_nervosa column
alcohol_use_disorders$mean_alcohol_use_disorders <- log(alcohol_use_disorders$mean_alcohol_use_disorders)
# Scale the mean_bulimia_nervosa column (if needed)
alcohol_use_disorders$mean_alcohol_use_disorders <- scale(alcohol_use_disorders$mean_alcohol_use_disorders)
# Print the resulting data frame
print(alcohol_use_disorders)
#######Major depressive disorders
major_depressive_disorder <- gbd_mentalhealth %>%
filter(cause == "Major depressive disorder")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(major_depressive_disorder$val)
# Optionally, calculate mean by country
major_depressive_disorder <- major_depressive_disorder %>%
group_by(country) %>%
summarise(mean_major_depressive_disorder = mean(val))
# Log transform the mean_bulimia_nervosa column
major_depressive_disorder$mean_major_depressive_disorder <- log(major_depressive_disorder$mean_major_depressive_disorder)
# Scale the mean_bulimia_nervosa column (if needed)
major_depressive_disorder$mean_major_depressive_disorder <- scale(major_depressive_disorder$mean_major_depressive_disorder)
# Print the resulting data frame
print(major_depressive_disorder)
#######Dysthymia########
dysthymia <- gbd_mentalhealth %>%
filter(cause == "Dysthymia")
# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(dysthymia$val)
# Optionally, calculate mean by country
dysthymia <- dysthymia %>%
group_by(country) %>%
summarise(mean_dysthymia = mean(val))
# Log transform the mean_bulimia_nervosa column
dysthymia$mean_dysthymia <- log(dysthymia$mean_dysthymia)
# Scale the mean_bulimia_nervosa column (if needed)
dysthymia$mean_dysthymia <- scale(dysthymia$mean_dysthymia)
# Print the resulting data frame
print(dysthymia)
library(dplyr)
# Perform left joins for each data frame on 'country'
final_mental_health_index <- mental_health_index %>%
left_join(bulimia_nervosa, by = "country") %>%
left_join(ADHD, by = "country") %>%
left_join(Idiopathic_developmental_intellectual_disability, by = "country") %>%
left_join(anorexia_nervosa, by = "country") %>%
left_join(depressive_disorders, by = "country") %>%
left_join(autismus_spectrum_disorders, by = "country") %>%
left_join(conduct_disorders, by = "country") %>%
left_join(schizophrenia, by = "country") %>%
left_join(eating_disorders, by = "country") %>%
left_join(bipolar_disorder, by = "country") %>%
left_join(drug_use_disorders, by = "country") %>%
left_join(alcohol_use_disorders, by = "country") %>%
left_join(substance_use_disorders, by = "country") %>%
left_join(major_depressive_disorder, by = "country") %>%
left_join(dysthymia, by = "country")
# Display the resulting data frame
print(final_mental_health_index)
# Show the first few rows of the resulting data frame
head(final_mental_health_index)
indicators <- left_join(final_mental_health_index, hardship, by = "country")
indicators
head(indicators)
new_data <- left_join (WVS_data, indicators, by = "country")
new_data
# Transfrom risk item such that high values represent more risk taking
new_data$risktaking = 6 - new_data$risktaking + 1
# Transform risk variable into T-score (mean = 50, sd = 10)
new_data$T_score_risktaking = 10*scale(new_data$risktaking, center=TRUE,scale=TRUE)+50
new_data
#Transform risk variable into Z score
# Assuming T-scores have a mean of 50 and a standard deviation of 10
new_data$Z_score_risktaking = (new_data$T_score_risktaking - 50) / 10
# Print the resulting data frame
print(new_data)
new_data <- new_data %>%
group_by(country) %>%
mutate(z_score_age = scale(age))
new_data
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
<<<<<<< HEAD
=======
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
library(lme4)
library(lme4)
model <- lmer(T_score_risktaking ~ scale(z_score_age) * mental_health +
gender * mental_health +
factor(married) + factor(children) +
factor(education) + factor(employed) +
(1 + scale(z_score_age) + factor(married) + factor(children) +
factor(education) + factor(employed) | country),
<<<<<<< Updated upstream
data = new_data, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
=======
<<<<<<< HEAD
<<<<<<< HEAD
data = new_data)
=======
data = new_data, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
data = new_data, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
summary(model)
# Assuming 'model' is a linear mixed-effects model (lmer), and you want to save coefficients to a CSV file
# Extract coefficients from the model summary
coefficients_df <- data.frame(summary(model)$coefficients)
# Write coefficients to a CSV file
write.csv(coefficients_df, "model_coefficients.csv", row.names = TRUE)
<<<<<<< Updated upstream
=======
<<<<<<< HEAD
<<<<<<< HEAD
=======
>>>>>>> 4479a7ab7bae21012b85ea8788a321584f71e429
=======
>>>>>>> 102b2708b98624b69d3d62a25724b361d57d7648
>>>>>>> Stashed changes
```
---
title: "R Notebook"
output: html_notebook
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Cmd+Shift+Enter*. 

```{r}
rm(list = ls())

library(data.table)
library(tidyr)
library(maps)
library(haven)
library(ggplot2)
library(dplyr)
```

Add a new chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Cmd+Option+I*.

When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the *Preview* button or press *Cmd+Shift+K* to preview the HTML file). 

The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike *Knit*, *Preview* does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.

```{r}
library(readxl)
hardship_complete <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/code/Hardship_complete_2024.xlsx")
hardship_complete




```
```{r}
hardship_complete$homiciderate=log(hardship_complete$homiciderate)
hardship_complete$gdp=log(hardship_complete$gdp)
hardship_complete$infantmortality=log(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy=log(hardship_complete$lifeexpectancy)

hardship_complete

# Reverse Codierung
hardship_complete$homiciderate=scale(hardship_complete$homiciderate)
hardship_complete$gdp=scale(-hardship_complete$gdp)
hardship_complete$infantmortality=scale(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy=scale(-hardship_complete$lifeexpectancy)
hardship_complete$gini=scale(hardship_complete$gini)
hardship_complete$femalemale_primedu=scale(-hardship_complete$femalemale_primedu)
hardship_complete

hardship_complete$hardship_index=(hardship_complete$homiciderate+hardship_complete$gdp+hardship_complete$gini+hardship_complete$lifeexpectancy+hardship_complete$infantmortality+hardship_complete$femalemale_primedu)/6

hardship_complete

# Laura added this code
library(dplyr)

# Impute missing values in the hardship indicators using the median
hardship_complete <- hardship_complete %>%
  mutate(across(c("homiciderate", "gdp", "infantmortality", "lifeexpectancy", "gini", "femalemale_primedu"),
                ~ifelse(is.na(.), median(., na.rm = TRUE), .)))

hardship_complete

# Use the mutate function to change the country name
hardship_complete <- hardship_complete %>%
  mutate(country = ifelse(label == "Serbia and Montenegro", "Serbia", label))
hardship_complete
```
```{r}
# Checking Log Transformation and Scaling/Reversing:

summary(hardship_complete[, c("homiciderate", "gdp", "infantmortality", "lifeexpectancy")])
# Visualize distributions before and after transformation
ggplot(hardship_complete, aes(x = gdp)) + 
  geom_histogram(bins = 20, fill = "lightblue", color = "black") +
  ggtitle("Distribution of GDP Before Transformation") +
  xlab("GDP") + ylab("Frequency")

ggplot(hardship_complete, aes(x = scale(-gdp))) + 
  geom_histogram(bins = 20, fill = "lightblue", color = "black") +
  ggtitle("Distribution of GDP After Scaling/Reversing") +
  xlab("Scaled/Reversed GDP") + ylab("Frequency")
```

# Checking Effectiveness of Imputation Method
```{r}
summary(hardship_complete[, c("homiciderate", "gdp", "infantmortality", "lifeexpectancy", "gini", "femalemale_primedu")])
```



```{r}
# Data of Wave 5


WV5_data <- readRDS("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/F00007944-WV5_Data_R_v20180912.rds")


# Convert WV5_data-object in data.frame 
WV5_data_df <- as.data.frame(WV5_data)

# show first five columns
WV5_data_df
```



```{r}
#rename the variables
WV5_data <- WV5_data_df %>%
  rename(gender = V235, age = V237, country_code = V2, wave = V1, risktaking = V86, children = V56, married = V55, employed = V241, education = V238)
WV5_data

colnames(WV5_data)



#select only the variables of interest
WV5_data <- WV5_data %>%
  dplyr::select(gender, age, country_code, wave, risktaking, children, married, employed, education)
WV5_data


# Read countrynames data from the CSV file (to decode the dataset 5)
countrynames <- read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header = FALSE, as.is = TRUE)
colnames(countrynames) <- c("code", "name")


# Assuming WV5_data has a column named country_code
WV5_data$country <- countrynames$name[match(WV5_data$country_code, countrynames$code)]

# Check the frequency of each country in the new column
table(WV5_data$country)

# Display the updated WV5_data
print(WV5_data)
unique(WV5_data$country)

print(countrynames)

country_counts <- WV5_data %>%
  count(country)

# Print the result
print(country_counts)



```
```{r}
#Read Dataset (Wave 6)

WV6_data <- load("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/WV6_Data_R_v20201117.rdata") 
WV6_data <- WV6_Data_R_v20201117 
print(WV6_data)
```

```{r}
WV6_data <- WV6_data %>%
  rename(wave = V1, gender = V240, age = V242,country_code = V2, risktaking = V76, children = V58, married = V57, employed = V229, education = V248)


#select only the variables of interest

WV6_data <- WV6_data %>%
  dplyr::select(wave, gender, age, country_code,risktaking, children, married, employed, education)
WV6_data
```
```{r}
countrynames = read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header=FALSE,as.is=TRUE)
colnames(countrynames) = c("code", "name")
WV6_data$country = countrynames$name [match(WV6_data$country_code, countrynames$code)]
table(WV6_data$country)
WV6_data
```
```{r}



WVS_data = rbind(WV5_data, WV6_data)
WVS_data

country_counts <- WVS_data %>%
  count(country)

# Print the result
print(country_counts)










```
```{r}




WVS_data = subset(WVS_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave5 = subset(WV5_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave6 = subset(WV6_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
WVS_data <- na.omit(WVS_data)
data_Wave5 <- na.omit(data_Wave5)
data_Wave6 <- na.omit(data_Wave6)









# Use the mutate function to change the country name
WVS_data <- WVS_data %>%
  mutate(country = ifelse(country == "Great Britain", "United Kingdom", country))
```
```{r}
# Transfrom risk item such that high values represent more risk taking
WVS_data$risktaking = 6 - WVS_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
WVS_data$T_score_risktaking = 10*scale(WVS_data$risktaking, center=TRUE,scale=TRUE)+50

WVS_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
WVS_data$Z_score_risktaking = (WVS_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(WVS_data)

WVS_data <- WVS_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
WVS_data

country_counts <- WVS_data %>%
  count(country)

# Print the result
print(country_counts)




```

```{r}

WVS_data$gender = ifelse(WVS_data$gender == 1, 0, 1) # sex: male vs. female
WVS_data$children = ifelse(WVS_data$children == 0, 0, 1) # children: no vs. yes
WVS_data$married = ifelse(WVS_data$married == 1, 1, 0) # married: yes vs. no
WVS_data$employed = ifelse(WVS_data$employed < 4, 1, 0) # employed: yes vs. no
WVS_data$education = ifelse(WVS_data$education < 4, 0, 1) # education: no primary vs. primary+ 


hardship <- hardship_complete %>%
  dplyr::select(label, code, hardship_index)
hardship

WVS_data


```
```{r}
library(dplyr)
hardship <- rename(hardship, country = label)

WVS_mixed_model <- left_join(WVS_data, hardship, by = "country")
WVS_mixed_model
head(WVS_mixed_model)

colnames(WVS_data)
colnames(hardship)

unique(WVS_data$country)

WVS_mixed_model

unique(WVS_mixed_model$country)
```
```{r}
library(lmerTest)

# intercept only model
model0 = lmer(T_score_risktaking ~ 1 + (1|country),data = WVS_mixed_model)
summary_model0=summary(model0)
summary_model0
```
```{r}
# age, sex 
model1 = lmer(T_score_risktaking ~ 1 +scale(age)+factor(gender) + (1+scale(age)+factor(gender)|country),data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
summary_model1=summary(model1)
summary_model1
```

```{r}
#model 2
library(lme4)

library(lme4)
library(lmerTest)

# Define the lmer model and assign it to 'model_2'

options(scipen = 100)
model_2 <- lmer(T_score_risktaking ~ 1 + scale(age) + factor(gender) + factor(children) + factor(married) + factor(employed) + factor(education) + (1 + scale(age) + factor(gender) + factor(children) + factor(married) + factor(employed) + factor(education) | country),
                data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))


# Display the summary of the model
summary_model_2 = summary(model_2)
summary_model_2

WVS_mixed_model


```


```{r}
options(scipen = 100)
model_3 <- lmer(T_score_risktaking ~ 1 + scale(age) * hardship_index + 
                    factor(gender) * hardship_index + factor(children) + factor(married) + factor(employed) + factor(education) + 
                    (1 + scale(age) + factor(gender)+ factor(children) + factor(married) + factor(employed) + factor(education) | country),
                data = WVS_mixed_model,control=lmerControl(optCtrl=list(maxfun=100000),optimizer="bobyqa"),REML = FALSE)

summary_model_3 = summary(model_3) 

summary_model_3


```

```{r}
# Define anova_results list with multiple anova() calls
anova_results <- list(
  anova(model0, model1),
  anova(model1, model_2),
  anova(model_2, model_3)
)

anova_results

library(broom)
library(tibble)



library(dplyr)
# Format ANOVA results into a tidy data frame
anova_summary <- bind_rows(lapply(anova_results, tidy), .id = "Comparison")

# Print the summary table
print(anova_summary)

```
```{r}
# Extract random effects for 'country'
# Assuming 'model' is your fitted lmer model
random_effects <- ranef(model_2)
random_effects






```
```{r}
regression_results_WVS <- WVS_data %>%
  group_by(country) %>%
  do(model = lm(Z_score_risktaking ~ scale(age) + gender, data = .)) %>%
  summarize(
    country = first(country),
    intercept_regression = coef(summary(model))[1, 1],
    slope_age_regression = coef(summary(model))[2, 1],
    slope_gender_regression = coef(summary(model))[3, 1]
  )

regression_results_WVS

random_effects <- ranef(model_2)
random_effects

colnames(random_effects)
















```

```{r}
coefsallmodels=rbind(summary_model1$coefficients,
summary_model_2$coefficients,
summary_model_3$coefficients[c(1:2,4:8,3,9:10),])

write.csv(coefsallmodels,"coefsallmodels.csv")
```


```{r}
# Read the CSV file into a data frame
gbd_mentalhealth <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/GBD_mentalhealth.xlsx")

gbd_mentalhealth

#select only the variables of interest
gbd_mentalhealth <- gbd_mentalhealth %>%
  dplyr::select(country, gender, age, cause, val, Measure)
gbd_mentalhealth


library(dplyr)

# Group data by country and age group, and calculate summary statistics
summary_by_country_age <- gbd_mentalhealth %>%
  group_by(country, age) %>%
  summarise(
    mean_DALYs = mean(val))  # Calculate mean of DALYs

library(dplyr)

# Assuming 'summary_by_country_age' contains your summarized dataset
mean_by_country <- summary_by_country_age %>%
  group_by(country) %>%
  summarise(mean_DALYs = mean(mean_DALYs))

# View the resulting mean by country
print(mean_by_country)

#log transform
mean_by_country$mean_DALYs=log(mean_by_country$mean_DALYs)
 
mean_by_country 

#Reverse codierung 
mean_by_country$mean_DALYs=scale(mean_by_country$mean_DALYs)

mean_by_country

#rename mean_DALYS
mental_health_index <- mean_by_country %>%
  rename('mental_health' = mean_DALYs)
mental_health_index

```
```{r}
library(dplyr)

#######Anxiety disorders#########
#Filter data for a specific mental disorder (e.g., Anxiety Disorders)
anxiety_disorders <- gbd_mentalhealth %>%
  filter(cause == "Anxiety disorders")  # Change "Anxiety Disorders" to the desired disorder

# Calculate the mean of 'val' (Disability-Adjusted Life Years) across locations and ages
mean_DALYs <- mean(anxiety_disorders$val)

# Optionally, if you want to calculate mean by country:
anxiety_disorders <- anxiety_disorders %>%
  group_by(country) %>%
  summarise(mean_Anxiety_disorders = mean(val))

anxiety_disorders

#log transform
anxiety_disorders$mean_Anxiety_disorders=log(anxiety_disorders$mean_Anxiety_disorders)
 
anxiety_disorders

#Reverse codierung 
anxiety_disorders$mean_Anxiety_disorders=scale(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
mental_health_index

```
```{r}
gbd_mentalhealth

# Assuming gbd_mentalhealth is your data frame containing the 'cause' column

# Get unique values of 'cause' column
unique_causes <- unique(gbd_mentalhealth$cause)

# Create a data frame with unique causes
cause_table <- data.frame(Cause = unique_causes)

# Print the cause table
print(cause_table)


```
```{r}
#######Bulimia nervosa########
library(dplyr)

# Filter the data for 'Bulimia Nervosa'
bulimia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Bulimia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bulimia_nervosa$val)

# Optionally, calculate mean by country
bulimia_nervosa <- bulimia_nervosa %>%
  group_by(country) %>%
  summarise(mean_bulimia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
bulimia_nervosa$mean_bulimia_nervosa <- log(bulimia_nervosa$mean_bulimia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
bulimia_nervosa$mean_bulimia_nervosa <- scale(bulimia_nervosa$mean_bulimia_nervosa)

# Print the resulting data frame
print(bulimia_nervosa)
print(anxiety_disorders)

gbd_mentalhealth

```
```{r}
#####Attention-deficit/hyperactivity disorder
library(dplyr)


ADHD <- gbd_mentalhealth %>%
  filter(cause == "Attention-deficit/hyperactivity disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(ADHD$val)

# Optionally, calculate mean by country
ADHD <- ADHD %>%
  group_by(country) %>%
  summarise(mean_ADHD = mean(val))

# Log transform the mean_bulimia_nervosa column
ADHD$mean_ADHD <- log(ADHD$mean_ADHD)

# Scale the mean_bulimia_nervosa column (if needed)
ADHD$mean_ADHD <- scale(ADHD$mean_ADHD)

# Print the resulting data frame
print(ADHD)

```
```{r}
#########Idiopathic development intellectual ability 
library(dplyr)


Idiopathic_developmental_intellectual_disability <- gbd_mentalhealth %>%
  filter(cause == "Idiopathic developmental intellectual disability")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(Idiopathic_developmental_intellectual_disability$val)

# Optionally, calculate mean by country
Idiopathic_developmental_intellectual_disability <- Idiopathic_developmental_intellectual_disability %>%
  group_by(country) %>%
  summarise(mean_Idiopathic_developmental_intellectual_disability = mean(val))

# Log transform the mean_bulimia_nervosa column
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- log(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Scale the mean_bulimia_nervosa column (if needed)
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- scale(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Print the resulting data frame
print(Idiopathic_developmental_intellectual_disability)
```
```{r}
######Anorexia Nervosa

anorexia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Anorexia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(anorexia_nervosa$val)

# Optionally, calculate mean by country
anorexia_nervosa <- anorexia_nervosa %>%
  group_by(country) %>%
  summarise(mean_anorexia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
anorexia_nervosa$mean_anorexia_nervosa <- log(anorexia_nervosa$mean_anorexia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
anorexia_nervosa$mean_anorexia_nervosa <- scale(anorexia_nervosa$mean_anorexia_nervosa)

# Print the resulting data frame
print(anorexia_nervosa)
```
```{r}
#####Depressive disorders#######

depressive_disorders <- gbd_mentalhealth %>%
  filter(cause == "Depressive disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(depressive_disorders$val)

# Optionally, calculate mean by country
depressive_disorders <- depressive_disorders %>%
  group_by(country) %>%
  summarise(mean_depressive_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
depressive_disorders$mean_depressive_disorders <- log(depressive_disorders$mean_depressive_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
depressive_disorders$mean_depressive_disorders <- scale(depressive_disorders$mean_depressive_disorders)

# Print the resulting data frame
print(depressive_disorders)
```

```{r}
#######Autismus spectrum disorders######

autismus_spectrum_disorders <- gbd_mentalhealth %>%
  filter(cause == "Autism spectrum disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(autismus_spectrum_disorders$val)

# Optionally, calculate mean by country
autismus_spectrum_disorders <- autismus_spectrum_disorders %>%
  group_by(country) %>%
  summarise(mean_autismus_spectrum_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- log(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- scale(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Print the resulting data frame
print(autismus_spectrum_disorders)
```

```{r}
######Schizophrenia#######
schizophrenia <- gbd_mentalhealth %>%
  filter(cause == "Schizophrenia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(schizophrenia$val)

# Optionally, calculate mean by country
schizophrenia <- schizophrenia %>%
  group_by(country) %>%
  summarise(mean_schizophrenia = mean(val))

# Log transform the mean_bulimia_nervosa column
schizophrenia$mean_schizophrenia <- log(schizophrenia$mean_schizophrenia)

# Scale the mean_bulimia_nervosa column (if needed)
schizophrenia$mean_schizophrenia <- scale(schizophrenia$mean_schizophrenia)

# Print the resulting data frame
print(schizophrenia)

```

```{r}
#######Conduct disorders#########
conduct_disorders <- gbd_mentalhealth %>%
  filter(cause == "Conduct disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(conduct_disorders$val)

# Optionally, calculate mean by country
conduct_disorders <- conduct_disorders %>%
  group_by(country) %>%
  summarise(mean_conduct_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
conduct_disorders$mean_conduct_disorders <- log(conduct_disorders$mean_conduct_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
conduct_disorders$mean_conduct_disorders <- scale(conduct_disorders$mean_conduct_disorders)

# Print the resulting data frame
print(conduct_disorders)


```

```{r}
########Eating disorders#########
eating_disorders <- gbd_mentalhealth %>%
  filter(cause == "Eating disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(eating_disorders$val)

# Optionally, calculate mean by country
eating_disorders <- eating_disorders %>%
  group_by(country) %>%
  summarise(mean_eating_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
eating_disorders$mean_eating_disorders <- log(eating_disorders$mean_eating_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
eating_disorders$mean_eating_disorders <- scale(eating_disorders$mean_eating_disorders)

# Print the resulting data frame
print(eating_disorders)

```
```{r}
########Bipolar disorder#########
bipolar_disorder <- gbd_mentalhealth %>%
  filter(cause == "Bipolar disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bipolar_disorder$val)

# Optionally, calculate mean by country
bipolar_disorder <- bipolar_disorder %>%
  group_by(country) %>%
  summarise(mean_bipolar_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
bipolar_disorder$mean_bipolar_disorder <- log(bipolar_disorder$mean_bipolar_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
bipolar_disorder$mean_bipolar_disorder <- scale(bipolar_disorder$mean_bipolar_disorder)

# Print the resulting data frame
print(bipolar_disorder)

```
```{r}
print(cause_table)
```
```{r}
########Substance use disorders########

substance_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Substance use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(substance_use_disorders$val)

# Optionally, calculate mean by country
substance_use_disorders <- substance_use_disorders %>%
  group_by(country) %>%
  summarise(mean_substance_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
substance_use_disorders$mean_substance_use_disorders <- log(substance_use_disorders$mean_substance_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
substance_use_disorders$mean_substance_use_disorders <- scale(substance_use_disorders$mean_substance_use_disorders)

# Print the resulting data frame
print(substance_use_disorders)

```
```{r}
####Drug use disorders

drug_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Drug use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(drug_use_disorders$val)

# Optionally, calculate mean by country
drug_use_disorders <- drug_use_disorders %>%
  group_by(country) %>%
  summarise(mean_drug_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
drug_use_disorders$mean_drug_use_disorders <- log(drug_use_disorders$mean_drug_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
drug_use_disorders$mean_drug_use_disorders <- scale(drug_use_disorders$mean_drug_use_disorders)

# Print the resulting data frame
print(drug_use_disorders)


```
```{r}
##########Alcohol use disorders
alcohol_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Alcohol use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(alcohol_use_disorders$val)

# Optionally, calculate mean by country
alcohol_use_disorders <- alcohol_use_disorders %>%
  group_by(country) %>%
  summarise(mean_alcohol_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
alcohol_use_disorders$mean_alcohol_use_disorders <- log(alcohol_use_disorders$mean_alcohol_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
alcohol_use_disorders$mean_alcohol_use_disorders <- scale(alcohol_use_disorders$mean_alcohol_use_disorders)

# Print the resulting data frame
print(alcohol_use_disorders)

```
```{r}
#######Major depressive disorders
major_depressive_disorder <- gbd_mentalhealth %>%
  filter(cause == "Major depressive disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(major_depressive_disorder$val)

# Optionally, calculate mean by country
major_depressive_disorder <- major_depressive_disorder %>%
  group_by(country) %>%
  summarise(mean_major_depressive_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
major_depressive_disorder$mean_major_depressive_disorder <- log(major_depressive_disorder$mean_major_depressive_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
major_depressive_disorder$mean_major_depressive_disorder <- scale(major_depressive_disorder$mean_major_depressive_disorder)

# Print the resulting data frame
print(major_depressive_disorder)

```
```{r}
#######Dysthymia########

dysthymia <- gbd_mentalhealth %>%
  filter(cause == "Dysthymia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(dysthymia$val)

# Optionally, calculate mean by country
dysthymia <- dysthymia %>%
  group_by(country) %>%
  summarise(mean_dysthymia = mean(val))

# Log transform the mean_bulimia_nervosa column
dysthymia$mean_dysthymia <- log(dysthymia$mean_dysthymia)

# Scale the mean_bulimia_nervosa column (if needed)
dysthymia$mean_dysthymia <- scale(dysthymia$mean_dysthymia)

# Print the resulting data frame
print(dysthymia)


```
```{r}
library(dplyr)

# Perform left joins for each data frame on 'country'
final_mental_health_index <- mental_health_index %>%
  left_join(bulimia_nervosa, by = "country") %>%
  left_join(ADHD, by = "country") %>%
  left_join(Idiopathic_developmental_intellectual_disability, by = "country") %>%
  left_join(anorexia_nervosa, by = "country") %>%
  left_join(depressive_disorders, by = "country") %>%
  left_join(autismus_spectrum_disorders, by = "country") %>%
  left_join(conduct_disorders, by = "country") %>%
  left_join(schizophrenia, by = "country") %>%
  left_join(eating_disorders, by = "country") %>%
  left_join(bipolar_disorder, by = "country") %>%
  left_join(drug_use_disorders, by = "country") %>%
  left_join(alcohol_use_disorders, by = "country") %>%
  left_join(substance_use_disorders, by = "country") %>%
  left_join(major_depressive_disorder, by = "country") %>%
  left_join(dysthymia, by = "country")

# Display the resulting data frame
print(final_mental_health_index)

# Show the first few rows of the resulting data frame
head(final_mental_health_index)

```
```{r}
indicators <- left_join(final_mental_health_index, hardship, by = "country")
indicators
head(indicators)

new_data <- left_join (WVS_data, indicators, by = "country")
new_data


# Transfrom risk item such that high values represent more risk taking
new_data$risktaking = 6 - new_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
new_data$T_score_risktaking = 10*scale(new_data$risktaking, center=TRUE,scale=TRUE)+50

new_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
new_data$Z_score_risktaking = (new_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(new_data)

new_data <- new_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
new_data
```
```{r}
library(lme4)

library(lme4)

model <- lmer(T_score_risktaking ~ scale(z_score_age) * mental_health +
               gender * mental_health +
               factor(married) + factor(children) +
               factor(education) + factor(employed) +
               (1 + scale(z_score_age) + factor(married) + factor(children) + 
                factor(education) + factor(employed) | country),
             data = new_data, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))


summary(model)

# Assuming 'model' is a linear mixed-effects model (lmer), and you want to save coefficients to a CSV file

# Extract coefficients from the model summary
coefficients_df <- data.frame(summary(model)$coefficients)

# Write coefficients to a CSV file
write.csv(coefficients_df, "model_coefficients.csv", row.names = TRUE)

```
```{r}

```


```




---
title: "R Notebook"
output: html_notebook
editor_options: 
  chunk_output_type: inline
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Cmd+Shift+Enter*.

## Test Test Test

```{r}
library(data.table)
library(tidyr)
library(maps)
library(haven)
library(ggplot2)
library(dplyr)
```

Add a new chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Cmd+Option+I*.

When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the *Preview* button or press *Cmd+Shift+K* to preview the HTML file). 

The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike *Knit*, *Preview* does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.

```{r}
library(readxl)
hardship_complete <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/data/Hardship_complete.xlsx")
hardship_complete


```
```{r}
hardship_complete$mean_homicide=log(hardship_complete$mean_homicide)
hardship_complete$gdp=log(hardship_complete$gdp)
hardship_complete$Infant_mortality=log(hardship_complete$Infant_mortality)
hardship_complete$life_expect=log(hardship_complete$life_expect)
hardship_complete$gini_income=log(hardship_complete$gini_income)
hardship_complete$`primary_ female_ enrollment_ rate`=log(hardship_complete$`primary_ female_ enrollment_ rate`)
hardship_complete

# Reverse Codierung
hardship_complete$mean_homicide=scale(hardship_complete$mean_homicide)
hardship_complete$gdp=scale(-hardship_complete$gdp)
hardship_complete$Infant_mortality=scale(hardship_complete$Infant_mortality)
hardship_complete$life_expect=scale(-hardship_complete$life_expect)
hardship_complete$gini_income=scale(hardship_complete$gini_income)
hardship_complete$gini_income=scale(-hardship_complete$`primary_ female_ enrollment_ rate`)
hardship_complete

hardship_complete$hardship_index=(hardship_complete$mean_homicide+hardship_complete$gdp+hardship_complete$gini_income+hardship_complete$life_expect+hardship_complete$Infant_mortality+hardship_complete$`primary_ female_ enrollment_ rate`)/6

hardship_complete


```
```{r}

# Data of Wave 5


WV5_data <- readRDS("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/F00007944-WV5_Data_R_v20180912.rds")


# Convert WV5_data-object in data.frame 
WV5_data_df <- as.data.frame(WV5_data)

# show first five columns
WV5_data_df
```

```{r}
#rename the variables
WV5_data <- WV5_data_df %>%
  rename(gender = V235, age = V237, country_code = V2, wave = V1, risktaking = V86, children = V56, married = V55, employed = V241, education = V238)
WV5_data

colnames(WV5_data)



#select only the variables of interest
WV5_data <- WV5_data %>%
  dplyr::select(gender, age, country_code, wave, risktaking, children, married, employed, education)
WV5_data
```
```{r}
# Read countrynames data from the CSV file (to decode the dataset 5)
countrynames <- read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header = FALSE, as.is = TRUE)
colnames(countrynames) <- c("code", "name")

# Assuming WV5_data has a column named country_code
WV5_data$country <- countrynames$name[match(WV5_data$country_code, countrynames$code)]

# Check the frequency of each country in the new column
table(WV5_data$country)

# Display the updated WV5_data
print(WV5_data)
```
```{r}
#Read Dataset (Wave 6)

WV6_data <- load("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/WV6_Data_R_v20201117.rdata") 
WV6_data <- WV6_Data_R_v20201117 
print(WV6_data)
```

```{r}
WV6_data <- WV6_data %>%
  rename(wave = V1, gender = V240, age = V242,country_code = V2, risktaking = V76, children = V58, married = V57, employed = V229, education = V248)


#select only the variables of interest

WV6_data <- WV6_data %>%
  dplyr::select(wave, gender, age, country_code,risktaking, children, married, employed, education)
WV6_data
```
```{r}
countrynames = read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header=FALSE,as.is=TRUE)
colnames(countrynames) = c("code", "name")
WV6_data$country = countrynames$name [match(WV6_data$country_code, countrynames$code)]
table(WV6_data$country)
WV6_data
```
```{r}
WV5_data
WV6_data
WVS_data = rbind(WV5_data, WV6_data)
WVS_data

unique(WVS_data$age)
range(WVS_data$age)
```
```{r}
WVS_data = subset(WVS_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave5 = subset(WV5_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave6 = subset(WV6_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
WVS_data <- na.omit(WVS_data)
data_Wave5 <- na.omit(data_Wave5)
data_Wave6 <- na.omit(data_Wave6)


# Use the mutate function to change the country name
WVS_data <- WVS_data %>%
  mutate(country = ifelse(country == "Great Britain", "United Kingdom", country))
```
```{r}
# Transfrom risk item such that high values represent more risk taking
WVS_data$risktaking = 6 - WVS_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
WVS_data$T_score_risktaking = 10*scale(WVS_data$risktaking, center=TRUE,scale=TRUE)+50

WVS_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
WVS_data$Z_score_risktaking = (WVS_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(WVS_data)

WVS_data <- WVS_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
WVS_data
```

```{r}

WVS_data$gender = ifelse(WVS_data$gender == 1, 0, 1) # sex: male vs. female
WVS_data$children = ifelse(WVS_data$children == 0, 0, 1) # children: no vs. yes
WVS_data$married = ifelse(WVS_data$married == 1, 1, 0) # married: yes vs. no
WVS_data$employed = ifelse(WVS_data$employed < 4, 1, 0) # employed: yes vs. no
WVS_data$education = ifelse(WVS_data$education < 4, 0, 1) # education: no primary vs. primary+ 


hardship <- hardship_complete %>%
  dplyr::select(country, isocode, hardship_index)
hardship
```
```{r}
WVS_mixed_model <- left_join(WVS_data, hardship, by = "country")
WVS_mixed_model
head(WVS_mixed_model)
```
```{r}
library(lmerTest)

# intercept only model
model0 = lmer(Z_score_risktaking ~ 1 + (1|country),data = WVS_mixed_model)
summary_model0=summary(model0)
summary_model0
```
```{r}
# age, sex 
model1 = lmer(T_score_risktaking ~ 1 +scale(z_score_age)+factor(gender) + (1+scale(z_score_age)+factor(gender)|country),data = WVS_mixed_model)
summary_model1=summary(model1)
summary_model1
```

```{r}
#model 2
library(lme4)

library(lme4)

# Define the lmer model and assign it to 'model_2'
model_2 <- lmer(T_score_risktaking ~ 1 + scale(z_score_age) + factor(gender) + factor(children) + 
                 factor(married) + factor(employed) + factor(education) + 
                 (1 + scale(z_score_age) + factor(gender) + factor(children) + 
                  factor(married) + factor(employed) + factor(education) | country),
                data = WVS_data)

# Display the summary of the model
summary(model_2)
```


```{r}
model_3 <- lmer(T_score_risktaking ~ 1 + scale(z_score_age) * hardship_index + 
                    factor(gender) * hardship_index + factor(married) + factor(children) + 
                    factor(education) + factor(employed) + 
                    (1 + scale(z_score_age) + factor(married) + factor(children) + 
                     factor(education) + factor(employed) | country),
                data = WVS_mixed_model)

summary(model_3)




```

```{r}
anova(model0,model1)
anova(model1,model_2)
anova(model_2,model_3) 
```

```{r}
coefsallmodels=rbind(summary_model1$coefficients,
summary_model_2$coefficients,
summary_model_3$coefficients[c(1:2,4:8,3,9:10),])

write.csv(coefsallmodels,"coefsallmodels.csv")
```


```{r}
# Read the CSV file into a data frame
gbd_mentalhealth <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/GBD_mentalhealth.xlsx")

gbd_mentalhealth

#select only the variables of interest
gbd_mentalhealth <- gbd_mentalhealth %>%
  dplyr::select(country, gender, age, cause, val, Measure)
gbd_mentalhealth


library(dplyr)

# Group data by country and age group, and calculate summary statistics
summary_by_country_age <- gbd_mentalhealth %>%
  group_by(country, age) %>%
  summarise(
    mean_DALYs = mean(val))  # Calculate mean of DALYs

library(dplyr)

# Assuming 'summary_by_country_age' contains your summarized dataset
mean_by_country <- summary_by_country_age %>%
  group_by(country) %>%
  summarise(mean_DALYs = mean(mean_DALYs))

# View the resulting mean by country
print(mean_by_country)

#log transform
mean_by_country$mean_DALYs=log(mean_by_country$mean_DALYs)
 
mean_by_country 

#Reverse codierung 
mean_by_country$mean_DALYs=scale(mean_by_country$mean_DALYs)

mean_by_country

#rename mean_DALYS
mental_health_index <- mean_by_country %>%
  rename('mental_health' = mean_DALYs)
mental_health_index

```
```{r}
library(dplyr)

#######Anxiety disorders#########
#Filter data for a specific mental disorder (e.g., Anxiety Disorders)
anxiety_disorders <- gbd_mentalhealth %>%
  filter(cause == "Anxiety disorders")  # Change "Anxiety Disorders" to the desired disorder

# Calculate the mean of 'val' (Disability-Adjusted Life Years) across locations and ages
mean_DALYs <- mean(anxiety_disorders$val)

# Optionally, if you want to calculate mean by country:
anxiety_disorders <- anxiety_disorders %>%
  group_by(country) %>%
  summarise(mean_Anxiety_disorders = mean(val))

anxiety_disorders

#log transform
anxiety_disorders$mean_Anxiety_disorders=log(anxiety_disorders$mean_Anxiety_disorders)
 
anxiety_disorders

#Reverse codierung 
anxiety_disorders$mean_Anxiety_disorders=scale(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
mental_health_index

```
```{r}
gbd_mentalhealth

# Assuming gbd_mentalhealth is your data frame containing the 'cause' column

# Get unique values of 'cause' column
unique_causes <- unique(gbd_mentalhealth$cause)

# Create a data frame with unique causes
cause_table <- data.frame(Cause = unique_causes)

# Print the cause table
print(cause_table)


```
```{r}
#######Bulimia nervosa########
library(dplyr)

# Filter the data for 'Bulimia Nervosa'
bulimia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Bulimia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bulimia_nervosa$val)

# Optionally, calculate mean by country
bulimia_nervosa <- bulimia_nervosa %>%
  group_by(country) %>%
  summarise(mean_bulimia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
bulimia_nervosa$mean_bulimia_nervosa <- log(bulimia_nervosa$mean_bulimia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
bulimia_nervosa$mean_bulimia_nervosa <- scale(bulimia_nervosa$mean_bulimia_nervosa)

# Print the resulting data frame
print(bulimia_nervosa)
print(anxiety_disorders)

gbd_mentalhealth

```
```{r}
#####Attention-deficit/hyperactivity disorder
library(dplyr)


ADHD <- gbd_mentalhealth %>%
  filter(cause == "Attention-deficit/hyperactivity disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(ADHD$val)

# Optionally, calculate mean by country
ADHD <- ADHD %>%
  group_by(country) %>%
  summarise(mean_ADHD = mean(val))

# Log transform the mean_bulimia_nervosa column
ADHD$mean_ADHD <- log(ADHD$mean_ADHD)

# Scale the mean_bulimia_nervosa column (if needed)
ADHD$mean_ADHD <- scale(ADHD$mean_ADHD)

# Print the resulting data frame
print(ADHD)

```
```{r}
#########Idiopathic development intellectual ability 
library(dplyr)


Idiopathic_developmental_intellectual_disability <- gbd_mentalhealth %>%
  filter(cause == "Idiopathic developmental intellectual disability")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(Idiopathic_developmental_intellectual_disability$val)

# Optionally, calculate mean by country
Idiopathic_developmental_intellectual_disability <- Idiopathic_developmental_intellectual_disability %>%
  group_by(country) %>%
  summarise(mean_Idiopathic_developmental_intellectual_disability = mean(val))

# Log transform the mean_bulimia_nervosa column
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- log(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Scale the mean_bulimia_nervosa column (if needed)
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- scale(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Print the resulting data frame
print(Idiopathic_developmental_intellectual_disability)
```
```{r}
######Anorexia Nervosa

anorexia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Anorexia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(anorexia_nervosa$val)

# Optionally, calculate mean by country
anorexia_nervosa <- anorexia_nervosa %>%
  group_by(country) %>%
  summarise(mean_anorexia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
anorexia_nervosa$mean_anorexia_nervosa <- log(anorexia_nervosa$mean_anorexia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
anorexia_nervosa$mean_anorexia_nervosa <- scale(anorexia_nervosa$mean_anorexia_nervosa)

# Print the resulting data frame
print(anorexia_nervosa)
```
```{r}
#####Depressive disorders#######

depressive_disorders <- gbd_mentalhealth %>%
  filter(cause == "Depressive disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(depressive_disorders$val)

# Optionally, calculate mean by country
depressive_disorders <- depressive_disorders %>%
  group_by(country) %>%
  summarise(mean_depressive_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
depressive_disorders$mean_depressive_disorders <- log(depressive_disorders$mean_depressive_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
depressive_disorders$mean_depressive_disorders <- scale(depressive_disorders$mean_depressive_disorders)

# Print the resulting data frame
print(depressive_disorders)
```

```{r}
#######Autismus spectrum disorders######

autismus_spectrum_disorders <- gbd_mentalhealth %>%
  filter(cause == "Autism spectrum disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(autismus_spectrum_disorders$val)

# Optionally, calculate mean by country
autismus_spectrum_disorders <- autismus_spectrum_disorders %>%
  group_by(country) %>%
  summarise(mean_autismus_spectrum_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- log(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- scale(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Print the resulting data frame
print(autismus_spectrum_disorders)
```

```{r}
######Schizophrenia#######
schizophrenia <- gbd_mentalhealth %>%
  filter(cause == "Schizophrenia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(schizophrenia$val)

# Optionally, calculate mean by country
schizophrenia <- schizophrenia %>%
  group_by(country) %>%
  summarise(mean_schizophrenia = mean(val))

# Log transform the mean_bulimia_nervosa column
schizophrenia$mean_schizophrenia <- log(schizophrenia$mean_schizophrenia)

# Scale the mean_bulimia_nervosa column (if needed)
schizophrenia$mean_schizophrenia <- scale(schizophrenia$mean_schizophrenia)

# Print the resulting data frame
print(schizophrenia)

```

```{r}
#######Conduct disorders#########
conduct_disorders <- gbd_mentalhealth %>%
  filter(cause == "Conduct disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(conduct_disorders$val)

# Optionally, calculate mean by country
conduct_disorders <- conduct_disorders %>%
  group_by(country) %>%
  summarise(mean_conduct_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
conduct_disorders$mean_conduct_disorders <- log(conduct_disorders$mean_conduct_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
conduct_disorders$mean_conduct_disorders <- scale(conduct_disorders$mean_conduct_disorders)

# Print the resulting data frame
print(conduct_disorders)


```

```{r}
########Eating disorders#########
eating_disorders <- gbd_mentalhealth %>%
  filter(cause == "Eating disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(eating_disorders$val)

# Optionally, calculate mean by country
eating_disorders <- eating_disorders %>%
  group_by(country) %>%
  summarise(mean_eating_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
eating_disorders$mean_eating_disorders <- log(eating_disorders$mean_eating_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
eating_disorders$mean_eating_disorders <- scale(eating_disorders$mean_eating_disorders)

# Print the resulting data frame
print(eating_disorders)

```
```{r}
########Bipolar disorder#########
bipolar_disorder <- gbd_mentalhealth %>%
  filter(cause == "Bipolar disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bipolar_disorder$val)

# Optionally, calculate mean by country
bipolar_disorder <- bipolar_disorder %>%
  group_by(country) %>%
  summarise(mean_bipolar_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
bipolar_disorder$mean_bipolar_disorder <- log(bipolar_disorder$mean_bipolar_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
bipolar_disorder$mean_bipolar_disorder <- scale(bipolar_disorder$mean_bipolar_disorder)

# Print the resulting data frame
print(bipolar_disorder)

```
```{r}
print(cause_table)
```
```{r}
########Substance use disorders########

substance_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Substance use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(substance_use_disorders$val)

# Optionally, calculate mean by country
substance_use_disorders <- substance_use_disorders %>%
  group_by(country) %>%
  summarise(mean_substance_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
substance_use_disorders$mean_substance_use_disorders <- log(substance_use_disorders$mean_substance_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
substance_use_disorders$mean_substance_use_disorders <- scale(substance_use_disorders$mean_substance_use_disorders)

# Print the resulting data frame
print(substance_use_disorders)

```
```{r}
####Drug use disorders

drug_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Drug use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(drug_use_disorders$val)

# Optionally, calculate mean by country
drug_use_disorders <- drug_use_disorders %>%
  group_by(country) %>%
  summarise(mean_drug_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
drug_use_disorders$mean_drug_use_disorders <- log(drug_use_disorders$mean_drug_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
drug_use_disorders$mean_drug_use_disorders <- scale(drug_use_disorders$mean_drug_use_disorders)

# Print the resulting data frame
print(drug_use_disorders)


```
```{r}
##########Alcohol use disorders
alcohol_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Alcohol use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(alcohol_use_disorders$val)

# Optionally, calculate mean by country
alcohol_use_disorders <- alcohol_use_disorders %>%
  group_by(country) %>%
  summarise(mean_alcohol_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
alcohol_use_disorders$mean_alcohol_use_disorders <- log(alcohol_use_disorders$mean_alcohol_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
alcohol_use_disorders$mean_alcohol_use_disorders <- scale(alcohol_use_disorders$mean_alcohol_use_disorders)

# Print the resulting data frame
print(alcohol_use_disorders)

```
```{r}
#######Major depressive disorders
major_depressive_disorder <- gbd_mentalhealth %>%
  filter(cause == "Major depressive disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(major_depressive_disorder$val)

# Optionally, calculate mean by country
major_depressive_disorder <- major_depressive_disorder %>%
  group_by(country) %>%
  summarise(mean_major_depressive_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
major_depressive_disorder$mean_major_depressive_disorder <- log(major_depressive_disorder$mean_major_depressive_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
major_depressive_disorder$mean_major_depressive_disorder <- scale(major_depressive_disorder$mean_major_depressive_disorder)

# Print the resulting data frame
print(major_depressive_disorder)

```
```{r}
#######Dysthymia########

dysthymia <- gbd_mentalhealth %>%
  filter(cause == "Dysthymia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(dysthymia$val)

# Optionally, calculate mean by country
dysthymia <- dysthymia %>%
  group_by(country) %>%
  summarise(mean_dysthymia = mean(val))

# Log transform the mean_bulimia_nervosa column
dysthymia$mean_dysthymia <- log(dysthymia$mean_dysthymia)

# Scale the mean_bulimia_nervosa column (if needed)
dysthymia$mean_dysthymia <- scale(dysthymia$mean_dysthymia)

# Print the resulting data frame
print(dysthymia)


```
```{r}
library(dplyr)

# Perform left joins for each data frame on 'country'
final_mental_health_index <- mental_health_index %>%
  left_join(bulimia_nervosa, by = "country") %>%
  left_join(ADHD, by = "country") %>%
  left_join(Idiopathic_developmental_intellectual_disability, by = "country") %>%
  left_join(anorexia_nervosa, by = "country") %>%
  left_join(depressive_disorders, by = "country") %>%
  left_join(autismus_spectrum_disorders, by = "country") %>%
  left_join(conduct_disorders, by = "country") %>%
  left_join(schizophrenia, by = "country") %>%
  left_join(eating_disorders, by = "country") %>%
  left_join(bipolar_disorder, by = "country") %>%
  left_join(drug_use_disorders, by = "country") %>%
  left_join(alcohol_use_disorders, by = "country") %>%
  left_join(substance_use_disorders, by = "country") %>%
  left_join(major_depressive_disorder, by = "country") %>%
  left_join(dysthymia, by = "country")

# Display the resulting data frame
print(final_mental_health_index)

# Show the first few rows of the resulting data frame
head(final_mental_health_index)

```
```{r}
indicators <- left_join(final_mental_health_index, hardship, by = "country")
indicators
head(indicators)

new_data <- left_join (WVS_data, indicators, by = "country")
new_data


# Transfrom risk item such that high values represent more risk taking
new_data$risktaking = 6 - new_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
new_data$T_score_risktaking = 10*scale(new_data$risktaking, center=TRUE,scale=TRUE)+50

new_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
new_data$Z_score_risktaking = (new_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(new_data)

new_data <- new_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
new_data
```
```{r}
library(lme4)

library(lme4)

model <- lmer(T_score_risktaking ~ scale(z_score_age) * mental_health +
               gender * mental_health +
               factor(married) + factor(children) +
               factor(education) + factor(employed) +
               (1 + scale(z_score_age) + factor(married) + factor(children) + 
                factor(education) + factor(employed) | country),
             data = new_data)


summary(model)

# Assuming 'model' is a linear mixed-effects model (lmer), and you want to save coefficients to a CSV file

# Extract coefficients from the model summary
coefficients_df <- data.frame(summary(model)$coefficients)

# Write coefficients to a CSV file
write.csv(coefficients_df, "model_coefficients.csv", row.names = TRUE)

```


```




---
title: "R Notebook"
output: html_notebook
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Cmd+Shift+Enter*. 

```{r}
rm(list = ls())

library(data.table)
library(tidyr)
library(maps)
library(haven)
library(ggplot2)
library(dplyr)
```

Add a new chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Cmd+Option+I*.

When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the *Preview* button or press *Cmd+Shift+K* to preview the HTML file). 

The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike *Knit*, *Preview* does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.

```{r}
library(readxl)
hardship_complete <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/code/Hardship_complete_2024.xlsx")
hardship_complete


```
```{r}
hardship_complete$homiciderate=log(hardship_complete$homiciderate)
hardship_complete$gdp=log(hardship_complete$gdp)
hardship_complete$infantmortality=log(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy=log(hardship_complete$lifeexpectancy)

hardship_complete

# Reverse Codierung
hardship_complete$homiciderate=scale(hardship_complete$homiciderate)
hardship_complete$gdp=scale(-hardship_complete$gdp)
hardship_complete$infantmortality=scale(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy=scale(-hardship_complete$lifeexpectancy)
hardship_complete$gini=scale(hardship_complete$gini)
hardship_complete$femalemale_primedu=scale(-hardship_complete$femalemale_primedu)
hardship_complete

hardship_complete$hardship_index=(hardship_complete$homiciderate+hardship_complete$gdp+hardship_complete$gini+hardship_complete$lifeexpectancy+hardship_complete$infantmortality+hardship_complete$femalemale_primedu)/6

hardship_complete

# Laura added this code
library(dplyr)

# Impute missing values in the hardship indicators using the median
hardship_complete <- hardship_complete %>%
  mutate(across(c("homiciderate", "gdp", "infantmortality", "lifeexpectancy", "gini", "femalemale_primedu"),
                ~ifelse(is.na(.), median(., na.rm = TRUE), .)))

hardship_complete

# Use the mutate function to change the country name
hardship_complete <- hardship_complete %>%
  mutate(country = ifelse(label == "Serbia and Montenegro", "Serbia", label))
hardship_complete
```


```{r}
# Data of Wave 5


WV5_data <- readRDS("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/F00007944-WV5_Data_R_v20180912.rds")


# Convert WV5_data-object in data.frame 
WV5_data_df <- as.data.frame(WV5_data)

# show first five columns
WV5_data_df
```



```{r}
#rename the variables
WV5_data <- WV5_data_df %>%
  rename(gender = V235, age = V237, country_code = V2, wave = V1, risktaking = V86, children = V56, married = V55, employed = V241, education = V238)
WV5_data

colnames(WV5_data)



#select only the variables of interest
WV5_data <- WV5_data %>%
  dplyr::select(gender, age, country_code, wave, risktaking, children, married, employed, education)
WV5_data
```
```{r}
# Read countrynames data from the CSV file (to decode the dataset 5)
countrynames <- read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header = FALSE, as.is = TRUE)
colnames(countrynames) <- c("code", "name")

# Assuming WV5_data has a column named country_code
WV5_data$country <- countrynames$name[match(WV5_data$country_code, countrynames$code)]

# Check the frequency of each country in the new column
table(WV5_data$country)

# Display the updated WV5_data
print(WV5_data)
```
```{r}
#Read Dataset (Wave 6)

WV6_data <- load("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/WV6_Data_R_v20201117.rdata") 
WV6_data <- WV6_Data_R_v20201117 
print(WV6_data)
```

```{r}
WV6_data <- WV6_data %>%
  rename(wave = V1, gender = V240, age = V242,country_code = V2, risktaking = V76, children = V58, married = V57, employed = V229, education = V248)


#select only the variables of interest

WV6_data <- WV6_data %>%
  dplyr::select(wave, gender, age, country_code,risktaking, children, married, employed, education)
WV6_data
```
```{r}
countrynames = read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header=FALSE,as.is=TRUE)
colnames(countrynames) = c("code", "name")
WV6_data$country = countrynames$name [match(WV6_data$country_code, countrynames$code)]
table(WV6_data$country)
WV6_data
```
```{r}

WVS_data = rbind(WV5_data, WV6_data)
WVS_data

country_counts <- WVS_data %>%
  count(country)

# Print the result
print(country_counts)










```
```{r}




WVS_data = subset(WVS_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave5 = subset(WV5_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave6 = subset(WV6_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
WVS_data <- na.omit(WVS_data)
data_Wave5 <- na.omit(data_Wave5)
data_Wave6 <- na.omit(data_Wave6)









# Use the mutate function to change the country name
WVS_data <- WVS_data %>%
  mutate(country = ifelse(country == "Great Britain", "United Kingdom", country))
```
```{r}
# Transfrom risk item such that high values represent more risk taking
WVS_data$risktaking = 6 - WVS_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
WVS_data$T_score_risktaking = 10*scale(WVS_data$risktaking, center=TRUE,scale=TRUE)+50

WVS_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
WVS_data$Z_score_risktaking = (WVS_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(WVS_data)

WVS_data <- WVS_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
WVS_data

country_counts <- WVS_data %>%
  count(country)

# Print the result
print(country_counts)




```

```{r}

WVS_data$gender = ifelse(WVS_data$gender == 1, 0, 1) # sex: male vs. female
WVS_data$children = ifelse(WVS_data$children == 0, 0, 1) # children: no vs. yes
WVS_data$married = ifelse(WVS_data$married == 1, 1, 0) # married: yes vs. no
WVS_data$employed = ifelse(WVS_data$employed < 4, 1, 0) # employed: yes vs. no
WVS_data$education = ifelse(WVS_data$education < 4, 0, 1) # education: no primary vs. primary+ 


hardship <- hardship_complete %>%
  dplyr::select(label, code, hardship_index)
hardship




```
```{r}
library(dplyr)
hardship <- rename(hardship, country = label)

WVS_mixed_model <- left_join(WVS_data, hardship, by = "country")
WVS_mixed_model
head(WVS_mixed_model)

colnames(WVS_data)
colnames(hardship)

unique(WVS_data$country)

WVS_mixed_model

unique(WVS_mixed_model$country)
```
```{r}
library(lmerTest)

# intercept only model
model0 = lmer(T_score_risktaking ~ 1 + (1|country),data = WVS_data)
summary_model0=summary(model0)
summary_model0
```
```{r}
# age, sex 
model1 = lmer(T_score_risktaking ~ 1 +scale(age)+factor(gender) + (1+scale(age)+factor(gender)|country),data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa"))
summary_model1=summary(model1)
summary_model1
```

```{r}
#model 2
library(lme4)

library(lme4)
library(lmerTest)

# Define the lmer model and assign it to 'model_2'
model_2 <- lmer(T_score_risktaking ~ 1 + scale(age) + factor(gender) + factor(children) + 
                 factor(married) + factor(education) + factor(employed) +
                 (1 + scale(age) + factor(gender) + factor(children) + factor(employed) +
                  factor(married) | country),
                data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))


# Display the summary of the model
summary_model_2 = summary(model_2)
summary_model_2

WVS_mixed_model


```


```{r}
model_3 <- lmer(T_score_risktaking ~ 1 + scale(age) * hardship_index + 
                    factor(gender) * hardship_index + factor(married) + factor(children) + 
                    factor(education) + factor(employed) + 
                    (1 + scale(age) + factor(married) + factor(children) + 
                     factor(education) + factor(employed) | country),
                data = WVS_mixed_model,control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))

summary_model_3 = summary(model_3) 

summary_model_3


```

```{r}
# Define anova_results list with multiple anova() calls
anova_results <- list(
  anova(model0, model1),
  anova(model1, model_2),
  anova(model_2, model_3)
)

anova_results

library(broom)
library(tibble)



library(dplyr)
# Format ANOVA results into a tidy data frame
anova_summary <- bind_rows(lapply(anova_results, tidy), .id = "Comparison")

# Print the summary table
print(anova_summary)

```
```{r}
# Extract random effects for 'country'
# Assuming 'model' is your fitted lmer model
random_effects <- ranef(model_2)
random_effects






```
```{r}
regression_results_WVS <- WVS_data %>%
  group_by(country) %>%
  do(model = lm(Z_score_risktaking ~ scale(age) + gender, data = .)) %>%
  summarize(
    country = first(country),
    intercept_regression = coef(summary(model))[1, 1],
    slope_age_regression = coef(summary(model))[2, 1],
    slope_gender_regression = coef(summary(model))[3, 1]
  )

regression_results_WVS

random_effects <- ranef(model_2)
random_effects

colnames(random_effects)
















```

```{r}
coefsallmodels=rbind(summary_model1$coefficients,
summary_model_2$coefficients,
summary_model_3$coefficients[c(1:2,4:8,3,9:10),])

write.csv(coefsallmodels,"coefsallmodels.csv")
```


```{r}
# Read the CSV file into a data frame
gbd_mentalhealth <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/GBD_mentalhealth.xlsx")

gbd_mentalhealth

#select only the variables of interest
gbd_mentalhealth <- gbd_mentalhealth %>%
  dplyr::select(country, gender, age, cause, val, Measure)
gbd_mentalhealth


library(dplyr)

# Group data by country and age group, and calculate summary statistics
summary_by_country_age <- gbd_mentalhealth %>%
  group_by(country, age) %>%
  summarise(
    mean_DALYs = mean(val))  # Calculate mean of DALYs

library(dplyr)

# Assuming 'summary_by_country_age' contains your summarized dataset
mean_by_country <- summary_by_country_age %>%
  group_by(country) %>%
  summarise(mean_DALYs = mean(mean_DALYs))

# View the resulting mean by country
print(mean_by_country)

#log transform
mean_by_country$mean_DALYs=log(mean_by_country$mean_DALYs)
 
mean_by_country 

#Reverse codierung 
mean_by_country$mean_DALYs=scale(mean_by_country$mean_DALYs)

mean_by_country

#rename mean_DALYS
mental_health_index <- mean_by_country %>%
  rename('mental_health' = mean_DALYs)
mental_health_index

```
```{r}
library(dplyr)

#######Anxiety disorders#########
#Filter data for a specific mental disorder (e.g., Anxiety Disorders)
anxiety_disorders <- gbd_mentalhealth %>%
  filter(cause == "Anxiety disorders")  # Change "Anxiety Disorders" to the desired disorder

# Calculate the mean of 'val' (Disability-Adjusted Life Years) across locations and ages
mean_DALYs <- mean(anxiety_disorders$val)

# Optionally, if you want to calculate mean by country:
anxiety_disorders <- anxiety_disorders %>%
  group_by(country) %>%
  summarise(mean_Anxiety_disorders = mean(val))

anxiety_disorders

#log transform
anxiety_disorders$mean_Anxiety_disorders=log(anxiety_disorders$mean_Anxiety_disorders)
 
anxiety_disorders

#Reverse codierung 
anxiety_disorders$mean_Anxiety_disorders=scale(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
mental_health_index

```
```{r}
gbd_mentalhealth

# Assuming gbd_mentalhealth is your data frame containing the 'cause' column

# Get unique values of 'cause' column
unique_causes <- unique(gbd_mentalhealth$cause)

# Create a data frame with unique causes
cause_table <- data.frame(Cause = unique_causes)

# Print the cause table
print(cause_table)


```
```{r}
#######Bulimia nervosa########
library(dplyr)

# Filter the data for 'Bulimia Nervosa'
bulimia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Bulimia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bulimia_nervosa$val)

# Optionally, calculate mean by country
bulimia_nervosa <- bulimia_nervosa %>%
  group_by(country) %>%
  summarise(mean_bulimia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
bulimia_nervosa$mean_bulimia_nervosa <- log(bulimia_nervosa$mean_bulimia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
bulimia_nervosa$mean_bulimia_nervosa <- scale(bulimia_nervosa$mean_bulimia_nervosa)

# Print the resulting data frame
print(bulimia_nervosa)
print(anxiety_disorders)

gbd_mentalhealth

```
```{r}
#####Attention-deficit/hyperactivity disorder
library(dplyr)


ADHD <- gbd_mentalhealth %>%
  filter(cause == "Attention-deficit/hyperactivity disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(ADHD$val)

# Optionally, calculate mean by country
ADHD <- ADHD %>%
  group_by(country) %>%
  summarise(mean_ADHD = mean(val))

# Log transform the mean_bulimia_nervosa column
ADHD$mean_ADHD <- log(ADHD$mean_ADHD)

# Scale the mean_bulimia_nervosa column (if needed)
ADHD$mean_ADHD <- scale(ADHD$mean_ADHD)

# Print the resulting data frame
print(ADHD)

```
```{r}
#########Idiopathic development intellectual ability 
library(dplyr)


Idiopathic_developmental_intellectual_disability <- gbd_mentalhealth %>%
  filter(cause == "Idiopathic developmental intellectual disability")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(Idiopathic_developmental_intellectual_disability$val)

# Optionally, calculate mean by country
Idiopathic_developmental_intellectual_disability <- Idiopathic_developmental_intellectual_disability %>%
  group_by(country) %>%
  summarise(mean_Idiopathic_developmental_intellectual_disability = mean(val))

# Log transform the mean_bulimia_nervosa column
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- log(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Scale the mean_bulimia_nervosa column (if needed)
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- scale(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Print the resulting data frame
print(Idiopathic_developmental_intellectual_disability)
```
```{r}
######Anorexia Nervosa

anorexia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Anorexia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(anorexia_nervosa$val)

# Optionally, calculate mean by country
anorexia_nervosa <- anorexia_nervosa %>%
  group_by(country) %>%
  summarise(mean_anorexia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
anorexia_nervosa$mean_anorexia_nervosa <- log(anorexia_nervosa$mean_anorexia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
anorexia_nervosa$mean_anorexia_nervosa <- scale(anorexia_nervosa$mean_anorexia_nervosa)

# Print the resulting data frame
print(anorexia_nervosa)
```
```{r}
#####Depressive disorders#######

depressive_disorders <- gbd_mentalhealth %>%
  filter(cause == "Depressive disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(depressive_disorders$val)

# Optionally, calculate mean by country
depressive_disorders <- depressive_disorders %>%
  group_by(country) %>%
  summarise(mean_depressive_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
depressive_disorders$mean_depressive_disorders <- log(depressive_disorders$mean_depressive_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
depressive_disorders$mean_depressive_disorders <- scale(depressive_disorders$mean_depressive_disorders)

# Print the resulting data frame
print(depressive_disorders)
```

```{r}
#######Autismus spectrum disorders######

autismus_spectrum_disorders <- gbd_mentalhealth %>%
  filter(cause == "Autism spectrum disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(autismus_spectrum_disorders$val)

# Optionally, calculate mean by country
autismus_spectrum_disorders <- autismus_spectrum_disorders %>%
  group_by(country) %>%
  summarise(mean_autismus_spectrum_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- log(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- scale(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Print the resulting data frame
print(autismus_spectrum_disorders)
```

```{r}
######Schizophrenia#######
schizophrenia <- gbd_mentalhealth %>%
  filter(cause == "Schizophrenia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(schizophrenia$val)

# Optionally, calculate mean by country
schizophrenia <- schizophrenia %>%
  group_by(country) %>%
  summarise(mean_schizophrenia = mean(val))

# Log transform the mean_bulimia_nervosa column
schizophrenia$mean_schizophrenia <- log(schizophrenia$mean_schizophrenia)

# Scale the mean_bulimia_nervosa column (if needed)
schizophrenia$mean_schizophrenia <- scale(schizophrenia$mean_schizophrenia)

# Print the resulting data frame
print(schizophrenia)

```

```{r}
#######Conduct disorders#########
conduct_disorders <- gbd_mentalhealth %>%
  filter(cause == "Conduct disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(conduct_disorders$val)

# Optionally, calculate mean by country
conduct_disorders <- conduct_disorders %>%
  group_by(country) %>%
  summarise(mean_conduct_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
conduct_disorders$mean_conduct_disorders <- log(conduct_disorders$mean_conduct_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
conduct_disorders$mean_conduct_disorders <- scale(conduct_disorders$mean_conduct_disorders)

# Print the resulting data frame
print(conduct_disorders)


```

```{r}
########Eating disorders#########
eating_disorders <- gbd_mentalhealth %>%
  filter(cause == "Eating disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(eating_disorders$val)

# Optionally, calculate mean by country
eating_disorders <- eating_disorders %>%
  group_by(country) %>%
  summarise(mean_eating_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
eating_disorders$mean_eating_disorders <- log(eating_disorders$mean_eating_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
eating_disorders$mean_eating_disorders <- scale(eating_disorders$mean_eating_disorders)

# Print the resulting data frame
print(eating_disorders)

```
```{r}
########Bipolar disorder#########
bipolar_disorder <- gbd_mentalhealth %>%
  filter(cause == "Bipolar disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bipolar_disorder$val)

# Optionally, calculate mean by country
bipolar_disorder <- bipolar_disorder %>%
  group_by(country) %>%
  summarise(mean_bipolar_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
bipolar_disorder$mean_bipolar_disorder <- log(bipolar_disorder$mean_bipolar_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
bipolar_disorder$mean_bipolar_disorder <- scale(bipolar_disorder$mean_bipolar_disorder)

# Print the resulting data frame
print(bipolar_disorder)

```
```{r}
print(cause_table)
```
```{r}
########Substance use disorders########

substance_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Substance use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(substance_use_disorders$val)

# Optionally, calculate mean by country
substance_use_disorders <- substance_use_disorders %>%
  group_by(country) %>%
  summarise(mean_substance_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
substance_use_disorders$mean_substance_use_disorders <- log(substance_use_disorders$mean_substance_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
substance_use_disorders$mean_substance_use_disorders <- scale(substance_use_disorders$mean_substance_use_disorders)

# Print the resulting data frame
print(substance_use_disorders)

```
```{r}
####Drug use disorders

drug_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Drug use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(drug_use_disorders$val)

# Optionally, calculate mean by country
drug_use_disorders <- drug_use_disorders %>%
  group_by(country) %>%
  summarise(mean_drug_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
drug_use_disorders$mean_drug_use_disorders <- log(drug_use_disorders$mean_drug_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
drug_use_disorders$mean_drug_use_disorders <- scale(drug_use_disorders$mean_drug_use_disorders)

# Print the resulting data frame
print(drug_use_disorders)


```
```{r}
##########Alcohol use disorders
alcohol_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Alcohol use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(alcohol_use_disorders$val)

# Optionally, calculate mean by country
alcohol_use_disorders <- alcohol_use_disorders %>%
  group_by(country) %>%
  summarise(mean_alcohol_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
alcohol_use_disorders$mean_alcohol_use_disorders <- log(alcohol_use_disorders$mean_alcohol_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
alcohol_use_disorders$mean_alcohol_use_disorders <- scale(alcohol_use_disorders$mean_alcohol_use_disorders)

# Print the resulting data frame
print(alcohol_use_disorders)

```
```{r}
#######Major depressive disorders
major_depressive_disorder <- gbd_mentalhealth %>%
  filter(cause == "Major depressive disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(major_depressive_disorder$val)

# Optionally, calculate mean by country
major_depressive_disorder <- major_depressive_disorder %>%
  group_by(country) %>%
  summarise(mean_major_depressive_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
major_depressive_disorder$mean_major_depressive_disorder <- log(major_depressive_disorder$mean_major_depressive_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
major_depressive_disorder$mean_major_depressive_disorder <- scale(major_depressive_disorder$mean_major_depressive_disorder)

# Print the resulting data frame
print(major_depressive_disorder)

```
```{r}
#######Dysthymia########

dysthymia <- gbd_mentalhealth %>%
  filter(cause == "Dysthymia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(dysthymia$val)

# Optionally, calculate mean by country
dysthymia <- dysthymia %>%
  group_by(country) %>%
  summarise(mean_dysthymia = mean(val))

# Log transform the mean_bulimia_nervosa column
dysthymia$mean_dysthymia <- log(dysthymia$mean_dysthymia)

# Scale the mean_bulimia_nervosa column (if needed)
dysthymia$mean_dysthymia <- scale(dysthymia$mean_dysthymia)

# Print the resulting data frame
print(dysthymia)


```
```{r}
library(dplyr)

# Perform left joins for each data frame on 'country'
final_mental_health_index <- mental_health_index %>%
  left_join(bulimia_nervosa, by = "country") %>%
  left_join(ADHD, by = "country") %>%
  left_join(Idiopathic_developmental_intellectual_disability, by = "country") %>%
  left_join(anorexia_nervosa, by = "country") %>%
  left_join(depressive_disorders, by = "country") %>%
  left_join(autismus_spectrum_disorders, by = "country") %>%
  left_join(conduct_disorders, by = "country") %>%
  left_join(schizophrenia, by = "country") %>%
  left_join(eating_disorders, by = "country") %>%
  left_join(bipolar_disorder, by = "country") %>%
  left_join(drug_use_disorders, by = "country") %>%
  left_join(alcohol_use_disorders, by = "country") %>%
  left_join(substance_use_disorders, by = "country") %>%
  left_join(major_depressive_disorder, by = "country") %>%
  left_join(dysthymia, by = "country")

# Display the resulting data frame
print(final_mental_health_index)

# Show the first few rows of the resulting data frame
head(final_mental_health_index)

```
```{r}
indicators <- left_join(final_mental_health_index, hardship, by = "country")
indicators
head(indicators)

new_data <- left_join (WVS_data, indicators, by = "country")
new_data


# Transfrom risk item such that high values represent more risk taking
new_data$risktaking = 6 - new_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
new_data$T_score_risktaking = 10*scale(new_data$risktaking, center=TRUE,scale=TRUE)+50

new_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
new_data$Z_score_risktaking = (new_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(new_data)

new_data <- new_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
new_data
```
```{r}
library(lme4)

library(lme4)

model <- lmer(T_score_risktaking ~ scale(z_score_age) * mental_health +
               gender * mental_health +
               factor(married) + factor(children) +
               factor(education) + factor(employed) +
               (1 + scale(z_score_age) + factor(married) + factor(children) + 
                factor(education) + factor(employed) | country),
             data = new_data, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))


summary(model)

# Assuming 'model' is a linear mixed-effects model (lmer), and you want to save coefficients to a CSV file

# Extract coefficients from the model summary
coefficients_df <- data.frame(summary(model)$coefficients)

# Write coefficients to a CSV file
write.csv(coefficients_df, "model_coefficients.csv", row.names = TRUE)

```
```{r}

```


```




---
title: "R Notebook"
output: html_notebook
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Cmd+Shift+Enter*. 

```{r}
rm(list = ls())

library(data.table)
library(tidyr)
library(maps)
library(haven)
library(ggplot2)
library(dplyr)
```

Add a new chunk by clicking the *Insert Chunk* button on the toolbar or by pressing *Cmd+Option+I*.

When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the *Preview* button or press *Cmd+Shift+K* to preview the HTML file). 

The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike *Knit*, *Preview* does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.

```{r}
library(readxl)
hardship_complete <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/code/Hardship_complete_2024.xlsx")
hardship_complete




```
```{r}
hardship_complete$homiciderate=log(hardship_complete$homiciderate)
hardship_complete$gdp=log(hardship_complete$gdp)
hardship_complete$infantmortality=log(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy=log(hardship_complete$lifeexpectancy)

hardship_complete

# Reverse Codierung
hardship_complete$homiciderate=scale(hardship_complete$homiciderate)
hardship_complete$gdp=scale(-hardship_complete$gdp)
hardship_complete$infantmortality=scale(hardship_complete$infantmortality)
hardship_complete$lifeexpectancy=scale(-hardship_complete$lifeexpectancy)
hardship_complete$gini=scale(hardship_complete$gini)
hardship_complete$femalemale_primedu=scale(-hardship_complete$femalemale_primedu)
hardship_complete

hardship_complete$hardship_index=(hardship_complete$homiciderate+hardship_complete$gdp+hardship_complete$gini+hardship_complete$lifeexpectancy+hardship_complete$infantmortality+hardship_complete$femalemale_primedu)/6

hardship_complete

# Laura added this code
library(dplyr)

# Impute missing values in the hardship indicators using the median
hardship_complete <- hardship_complete %>%
  mutate(across(c("homiciderate", "gdp", "infantmortality", "lifeexpectancy", "gini", "femalemale_primedu"),
                ~ifelse(is.na(.), median(., na.rm = TRUE), .)))

hardship_complete

# Use the mutate function to change the country name
hardship_complete <- hardship_complete %>%
  mutate(country = ifelse(label == "Serbia and Montenegro", "Serbia", label))
hardship_complete
```
```{r}
# Checking Log Transformation and Scaling/Reversing:

summary(hardship_complete[, c("homiciderate", "gdp", "infantmortality", "lifeexpectancy")])
# Visualize distributions before and after transformation
ggplot(hardship_complete, aes(x = gdp)) + 
  geom_histogram(bins = 20, fill = "lightblue", color = "black") +
  ggtitle("Distribution of GDP Before Transformation") +
  xlab("GDP") + ylab("Frequency")

ggplot(hardship_complete, aes(x = scale(-gdp))) + 
  geom_histogram(bins = 20, fill = "lightblue", color = "black") +
  ggtitle("Distribution of GDP After Scaling/Reversing") +
  xlab("Scaled/Reversed GDP") + ylab("Frequency")
```

# Checking Effectiveness of Imputation Method
```{r}
summary(hardship_complete[, c("homiciderate", "gdp", "infantmortality", "lifeexpectancy", "gini", "femalemale_primedu")])
```



```{r}
# Data of Wave 5


WV5_data <- readRDS("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/F00007944-WV5_Data_R_v20180912.rds")


# Convert WV5_data-object in data.frame 
WV5_data_df <- as.data.frame(WV5_data)

# show first five columns
WV5_data_df
```



```{r}
#rename the variables
WV5_data <- WV5_data_df %>%
  rename(gender = V235, age = V237, country_code = V2, wave = V1, risktaking = V86, children = V56, married = V55, employed = V241, education = V238)
WV5_data

colnames(WV5_data)



#select only the variables of interest
WV5_data <- WV5_data %>%
  dplyr::select(gender, age, country_code, wave, risktaking, children, married, employed, education)
WV5_data


# Read countrynames data from the CSV file (to decode the dataset 5)
countrynames <- read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header = FALSE, as.is = TRUE)
colnames(countrynames) <- c("code", "name")


# Assuming WV5_data has a column named country_code
WV5_data$country <- countrynames$name[match(WV5_data$country_code, countrynames$code)]

# Check the frequency of each country in the new column
table(WV5_data$country)

# Display the updated WV5_data
print(WV5_data)
unique(WV5_data$country)

print(countrynames)

country_counts <- WV5_data %>%
  count(country)

# Print the result
print(country_counts)



```
```{r}
#Read Dataset (Wave 6)

WV6_data <- load("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/WV6_Data_R_v20201117.rdata") 
WV6_data <- WV6_Data_R_v20201117 
print(WV6_data)
```

```{r}
WV6_data <- WV6_data %>%
  rename(wave = V1, gender = V240, age = V242,country_code = V2, risktaking = V76, children = V58, married = V57, employed = V229, education = V248)


#select only the variables of interest

WV6_data <- WV6_data %>%
  dplyr::select(wave, gender, age, country_code,risktaking, children, married, employed, education)
WV6_data
```
```{r}
countrynames = read.csv("/Users/cristinacandido/Documents/Github/risk_wvs/data/WVS/countrynames.txt", header=FALSE,as.is=TRUE)
colnames(countrynames) = c("code", "name")
WV6_data$country = countrynames$name [match(WV6_data$country_code, countrynames$code)]
table(WV6_data$country)
WV6_data
```
```{r}



WVS_data = rbind(WV5_data, WV6_data)
WVS_data

country_counts <- WVS_data %>%
  count(country)

# Print the result
print(country_counts)










```
```{r}




WVS_data = subset(WVS_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave5 = subset(WV5_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
data_Wave6 = subset(WV6_data, risktaking > 0 & gender > 0 & age >0 & education > 0 & employed > 0 & married > 0 & children >= 0)
WVS_data <- na.omit(WVS_data)
data_Wave5 <- na.omit(data_Wave5)
data_Wave6 <- na.omit(data_Wave6)









# Use the mutate function to change the country name
WVS_data <- WVS_data %>%
  mutate(country = ifelse(country == "Great Britain", "United Kingdom", country))
```
```{r}
# Transfrom risk item such that high values represent more risk taking
WVS_data$risktaking = 6 - WVS_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
WVS_data$T_score_risktaking = 10*scale(WVS_data$risktaking, center=TRUE,scale=TRUE)+50

WVS_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
WVS_data$Z_score_risktaking = (WVS_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(WVS_data)

WVS_data <- WVS_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
WVS_data

country_counts <- WVS_data %>%
  count(country)

# Print the result
print(country_counts)




```

```{r}

WVS_data$gender = ifelse(WVS_data$gender == 1, 0, 1) # sex: male vs. female
WVS_data$children = ifelse(WVS_data$children == 0, 0, 1) # children: no vs. yes
WVS_data$married = ifelse(WVS_data$married == 1, 1, 0) # married: yes vs. no
WVS_data$employed = ifelse(WVS_data$employed < 4, 1, 0) # employed: yes vs. no
WVS_data$education = ifelse(WVS_data$education < 4, 0, 1) # education: no primary vs. primary+ 


hardship <- hardship_complete %>%
  dplyr::select(label, code, hardship_index)
hardship

WVS_data


```
```{r}
library(dplyr)
hardship <- rename(hardship, country = label)

WVS_mixed_model <- left_join(WVS_data, hardship, by = "country")
WVS_mixed_model
head(WVS_mixed_model)

colnames(WVS_data)
colnames(hardship)

unique(WVS_data$country)

WVS_mixed_model

unique(WVS_mixed_model$country)
```
```{r}
library(lmerTest)

# intercept only model
model0 = lmer(T_score_risktaking ~ 1 + (1|country),data = WVS_mixed_model)
summary_model0=summary(model0)
summary_model0
```
```{r}
# age, sex 
model1 = lmer(T_score_risktaking ~ 1 +scale(age)+factor(gender) + (1+scale(age)+factor(gender)|country),data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))
summary_model1=summary(model1)
summary_model1
```

```{r}
#model 2
library(lme4)

library(lme4)
library(lmerTest)

# Define the lmer model and assign it to 'model_2'

options(scipen = 100)
model_2 <- lmer(T_score_risktaking ~ 1 + scale(age) + factor(gender) + factor(children) + factor(married) + factor(employed) + factor(education) + (1 + scale(age) + factor(gender) + factor(children) + factor(married) + factor(employed) + factor(education) | country),
                data = WVS_mixed_model, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))


# Display the summary of the model
summary_model_2 = summary(model_2)
summary_model_2

WVS_mixed_model


```


```{r}
options(scipen = 100)
model_3 <- lmer(T_score_risktaking ~ 1 + scale(age) * hardship_index + 
                    factor(gender) * hardship_index + factor(children) + factor(married) + factor(employed) + factor(education) + 
                    (1 + scale(age) + factor(gender)+ factor(children) + factor(married) + factor(employed) + factor(education) | country),
                data = WVS_mixed_model,control=lmerControl(optCtrl=list(maxfun=100000),optimizer="bobyqa"),REML = FALSE)

summary_model_3 = summary(model_3) 

summary_model_3


```

```{r}
# Define anova_results list with multiple anova() calls
anova_results <- list(
  anova(model0, model1),
  anova(model1, model_2),
  anova(model_2, model_3)
)

anova_results

library(broom)
library(tibble)



library(dplyr)
# Format ANOVA results into a tidy data frame
anova_summary <- bind_rows(lapply(anova_results, tidy), .id = "Comparison")

# Print the summary table
print(anova_summary)

```
```{r}
# Extract random effects for 'country'
# Assuming 'model' is your fitted lmer model
random_effects <- ranef(model_2)
random_effects






```
```{r}
regression_results_WVS <- WVS_data %>%
  group_by(country) %>%
  do(model = lm(Z_score_risktaking ~ scale(age) + gender, data = .)) %>%
  summarize(
    country = first(country),
    intercept_regression = coef(summary(model))[1, 1],
    slope_age_regression = coef(summary(model))[2, 1],
    slope_gender_regression = coef(summary(model))[3, 1]
  )

regression_results_WVS

random_effects <- ranef(model_2)
random_effects

colnames(random_effects)
















```

```{r}
coefsallmodels=rbind(summary_model1$coefficients,
summary_model_2$coefficients,
summary_model_3$coefficients[c(1:2,4:8,3,9:10),])

write.csv(coefsallmodels,"coefsallmodels.csv")
```


```{r}
# Read the CSV file into a data frame
gbd_mentalhealth <- read_excel("/Users/cristinacandido/Documents/Github/risk_wvs/GBD_mentalhealth.xlsx")

gbd_mentalhealth

#select only the variables of interest
gbd_mentalhealth <- gbd_mentalhealth %>%
  dplyr::select(country, gender, age, cause, val, Measure)
gbd_mentalhealth


library(dplyr)

# Group data by country and age group, and calculate summary statistics
summary_by_country_age <- gbd_mentalhealth %>%
  group_by(country, age) %>%
  summarise(
    mean_DALYs = mean(val))  # Calculate mean of DALYs

library(dplyr)

# Assuming 'summary_by_country_age' contains your summarized dataset
mean_by_country <- summary_by_country_age %>%
  group_by(country) %>%
  summarise(mean_DALYs = mean(mean_DALYs))

# View the resulting mean by country
print(mean_by_country)

#log transform
mean_by_country$mean_DALYs=log(mean_by_country$mean_DALYs)
 
mean_by_country 

#Reverse codierung 
mean_by_country$mean_DALYs=scale(mean_by_country$mean_DALYs)

mean_by_country

#rename mean_DALYS
mental_health_index <- mean_by_country %>%
  rename('mental_health' = mean_DALYs)
mental_health_index

```
```{r}
library(dplyr)

#######Anxiety disorders#########
#Filter data for a specific mental disorder (e.g., Anxiety Disorders)
anxiety_disorders <- gbd_mentalhealth %>%
  filter(cause == "Anxiety disorders")  # Change "Anxiety Disorders" to the desired disorder

# Calculate the mean of 'val' (Disability-Adjusted Life Years) across locations and ages
mean_DALYs <- mean(anxiety_disorders$val)

# Optionally, if you want to calculate mean by country:
anxiety_disorders <- anxiety_disorders %>%
  group_by(country) %>%
  summarise(mean_Anxiety_disorders = mean(val))

anxiety_disorders

#log transform
anxiety_disorders$mean_Anxiety_disorders=log(anxiety_disorders$mean_Anxiety_disorders)
 
anxiety_disorders

#Reverse codierung 
anxiety_disorders$mean_Anxiety_disorders=scale(anxiety_disorders$mean_Anxiety_disorders)
anxiety_disorders
mental_health_index

```
```{r}
gbd_mentalhealth

# Assuming gbd_mentalhealth is your data frame containing the 'cause' column

# Get unique values of 'cause' column
unique_causes <- unique(gbd_mentalhealth$cause)

# Create a data frame with unique causes
cause_table <- data.frame(Cause = unique_causes)

# Print the cause table
print(cause_table)


```
```{r}
#######Bulimia nervosa########
library(dplyr)

# Filter the data for 'Bulimia Nervosa'
bulimia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Bulimia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bulimia_nervosa$val)

# Optionally, calculate mean by country
bulimia_nervosa <- bulimia_nervosa %>%
  group_by(country) %>%
  summarise(mean_bulimia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
bulimia_nervosa$mean_bulimia_nervosa <- log(bulimia_nervosa$mean_bulimia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
bulimia_nervosa$mean_bulimia_nervosa <- scale(bulimia_nervosa$mean_bulimia_nervosa)

# Print the resulting data frame
print(bulimia_nervosa)
print(anxiety_disorders)

gbd_mentalhealth

```
```{r}
#####Attention-deficit/hyperactivity disorder
library(dplyr)


ADHD <- gbd_mentalhealth %>%
  filter(cause == "Attention-deficit/hyperactivity disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(ADHD$val)

# Optionally, calculate mean by country
ADHD <- ADHD %>%
  group_by(country) %>%
  summarise(mean_ADHD = mean(val))

# Log transform the mean_bulimia_nervosa column
ADHD$mean_ADHD <- log(ADHD$mean_ADHD)

# Scale the mean_bulimia_nervosa column (if needed)
ADHD$mean_ADHD <- scale(ADHD$mean_ADHD)

# Print the resulting data frame
print(ADHD)

```
```{r}
#########Idiopathic development intellectual ability 
library(dplyr)


Idiopathic_developmental_intellectual_disability <- gbd_mentalhealth %>%
  filter(cause == "Idiopathic developmental intellectual disability")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(Idiopathic_developmental_intellectual_disability$val)

# Optionally, calculate mean by country
Idiopathic_developmental_intellectual_disability <- Idiopathic_developmental_intellectual_disability %>%
  group_by(country) %>%
  summarise(mean_Idiopathic_developmental_intellectual_disability = mean(val))

# Log transform the mean_bulimia_nervosa column
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- log(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Scale the mean_bulimia_nervosa column (if needed)
Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability <- scale(Idiopathic_developmental_intellectual_disability$mean_Idiopathic_developmental_intellectual_disability)

# Print the resulting data frame
print(Idiopathic_developmental_intellectual_disability)
```
```{r}
######Anorexia Nervosa

anorexia_nervosa <- gbd_mentalhealth %>%
  filter(cause == "Anorexia nervosa")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(anorexia_nervosa$val)

# Optionally, calculate mean by country
anorexia_nervosa <- anorexia_nervosa %>%
  group_by(country) %>%
  summarise(mean_anorexia_nervosa = mean(val))

# Log transform the mean_bulimia_nervosa column
anorexia_nervosa$mean_anorexia_nervosa <- log(anorexia_nervosa$mean_anorexia_nervosa)

# Scale the mean_bulimia_nervosa column (if needed)
anorexia_nervosa$mean_anorexia_nervosa <- scale(anorexia_nervosa$mean_anorexia_nervosa)

# Print the resulting data frame
print(anorexia_nervosa)
```
```{r}
#####Depressive disorders#######

depressive_disorders <- gbd_mentalhealth %>%
  filter(cause == "Depressive disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(depressive_disorders$val)

# Optionally, calculate mean by country
depressive_disorders <- depressive_disorders %>%
  group_by(country) %>%
  summarise(mean_depressive_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
depressive_disorders$mean_depressive_disorders <- log(depressive_disorders$mean_depressive_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
depressive_disorders$mean_depressive_disorders <- scale(depressive_disorders$mean_depressive_disorders)

# Print the resulting data frame
print(depressive_disorders)
```

```{r}
#######Autismus spectrum disorders######

autismus_spectrum_disorders <- gbd_mentalhealth %>%
  filter(cause == "Autism spectrum disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(autismus_spectrum_disorders$val)

# Optionally, calculate mean by country
autismus_spectrum_disorders <- autismus_spectrum_disorders %>%
  group_by(country) %>%
  summarise(mean_autismus_spectrum_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- log(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
autismus_spectrum_disorders$mean_autismus_spectrum_disorders <- scale(autismus_spectrum_disorders$mean_autismus_spectrum_disorders)

# Print the resulting data frame
print(autismus_spectrum_disorders)
```

```{r}
######Schizophrenia#######
schizophrenia <- gbd_mentalhealth %>%
  filter(cause == "Schizophrenia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(schizophrenia$val)

# Optionally, calculate mean by country
schizophrenia <- schizophrenia %>%
  group_by(country) %>%
  summarise(mean_schizophrenia = mean(val))

# Log transform the mean_bulimia_nervosa column
schizophrenia$mean_schizophrenia <- log(schizophrenia$mean_schizophrenia)

# Scale the mean_bulimia_nervosa column (if needed)
schizophrenia$mean_schizophrenia <- scale(schizophrenia$mean_schizophrenia)

# Print the resulting data frame
print(schizophrenia)

```

```{r}
#######Conduct disorders#########
conduct_disorders <- gbd_mentalhealth %>%
  filter(cause == "Conduct disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(conduct_disorders$val)

# Optionally, calculate mean by country
conduct_disorders <- conduct_disorders %>%
  group_by(country) %>%
  summarise(mean_conduct_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
conduct_disorders$mean_conduct_disorders <- log(conduct_disorders$mean_conduct_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
conduct_disorders$mean_conduct_disorders <- scale(conduct_disorders$mean_conduct_disorders)

# Print the resulting data frame
print(conduct_disorders)


```

```{r}
########Eating disorders#########
eating_disorders <- gbd_mentalhealth %>%
  filter(cause == "Eating disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(eating_disorders$val)

# Optionally, calculate mean by country
eating_disorders <- eating_disorders %>%
  group_by(country) %>%
  summarise(mean_eating_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
eating_disorders$mean_eating_disorders <- log(eating_disorders$mean_eating_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
eating_disorders$mean_eating_disorders <- scale(eating_disorders$mean_eating_disorders)

# Print the resulting data frame
print(eating_disorders)

```
```{r}
########Bipolar disorder#########
bipolar_disorder <- gbd_mentalhealth %>%
  filter(cause == "Bipolar disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(bipolar_disorder$val)

# Optionally, calculate mean by country
bipolar_disorder <- bipolar_disorder %>%
  group_by(country) %>%
  summarise(mean_bipolar_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
bipolar_disorder$mean_bipolar_disorder <- log(bipolar_disorder$mean_bipolar_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
bipolar_disorder$mean_bipolar_disorder <- scale(bipolar_disorder$mean_bipolar_disorder)

# Print the resulting data frame
print(bipolar_disorder)

```
```{r}
print(cause_table)
```
```{r}
########Substance use disorders########

substance_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Substance use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(substance_use_disorders$val)

# Optionally, calculate mean by country
substance_use_disorders <- substance_use_disorders %>%
  group_by(country) %>%
  summarise(mean_substance_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
substance_use_disorders$mean_substance_use_disorders <- log(substance_use_disorders$mean_substance_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
substance_use_disorders$mean_substance_use_disorders <- scale(substance_use_disorders$mean_substance_use_disorders)

# Print the resulting data frame
print(substance_use_disorders)

```
```{r}
####Drug use disorders

drug_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Drug use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(drug_use_disorders$val)

# Optionally, calculate mean by country
drug_use_disorders <- drug_use_disorders %>%
  group_by(country) %>%
  summarise(mean_drug_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
drug_use_disorders$mean_drug_use_disorders <- log(drug_use_disorders$mean_drug_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
drug_use_disorders$mean_drug_use_disorders <- scale(drug_use_disorders$mean_drug_use_disorders)

# Print the resulting data frame
print(drug_use_disorders)


```
```{r}
##########Alcohol use disorders
alcohol_use_disorders <- gbd_mentalhealth %>%
  filter(cause == "Alcohol use disorders")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(alcohol_use_disorders$val)

# Optionally, calculate mean by country
alcohol_use_disorders <- alcohol_use_disorders %>%
  group_by(country) %>%
  summarise(mean_alcohol_use_disorders = mean(val))

# Log transform the mean_bulimia_nervosa column
alcohol_use_disorders$mean_alcohol_use_disorders <- log(alcohol_use_disorders$mean_alcohol_use_disorders)

# Scale the mean_bulimia_nervosa column (if needed)
alcohol_use_disorders$mean_alcohol_use_disorders <- scale(alcohol_use_disorders$mean_alcohol_use_disorders)

# Print the resulting data frame
print(alcohol_use_disorders)

```
```{r}
#######Major depressive disorders
major_depressive_disorder <- gbd_mentalhealth %>%
  filter(cause == "Major depressive disorder")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(major_depressive_disorder$val)

# Optionally, calculate mean by country
major_depressive_disorder <- major_depressive_disorder %>%
  group_by(country) %>%
  summarise(mean_major_depressive_disorder = mean(val))

# Log transform the mean_bulimia_nervosa column
major_depressive_disorder$mean_major_depressive_disorder <- log(major_depressive_disorder$mean_major_depressive_disorder)

# Scale the mean_bulimia_nervosa column (if needed)
major_depressive_disorder$mean_major_depressive_disorder <- scale(major_depressive_disorder$mean_major_depressive_disorder)

# Print the resulting data frame
print(major_depressive_disorder)

```
```{r}
#######Dysthymia########

dysthymia <- gbd_mentalhealth %>%
  filter(cause == "Dysthymia")

# Calculate the mean of 'val' (DALYs) across all locations
mean_DALYs <- mean(dysthymia$val)

# Optionally, calculate mean by country
dysthymia <- dysthymia %>%
  group_by(country) %>%
  summarise(mean_dysthymia = mean(val))

# Log transform the mean_bulimia_nervosa column
dysthymia$mean_dysthymia <- log(dysthymia$mean_dysthymia)

# Scale the mean_bulimia_nervosa column (if needed)
dysthymia$mean_dysthymia <- scale(dysthymia$mean_dysthymia)

# Print the resulting data frame
print(dysthymia)


```
```{r}
library(dplyr)

# Perform left joins for each data frame on 'country'
final_mental_health_index <- mental_health_index %>%
  left_join(bulimia_nervosa, by = "country") %>%
  left_join(ADHD, by = "country") %>%
  left_join(Idiopathic_developmental_intellectual_disability, by = "country") %>%
  left_join(anorexia_nervosa, by = "country") %>%
  left_join(depressive_disorders, by = "country") %>%
  left_join(autismus_spectrum_disorders, by = "country") %>%
  left_join(conduct_disorders, by = "country") %>%
  left_join(schizophrenia, by = "country") %>%
  left_join(eating_disorders, by = "country") %>%
  left_join(bipolar_disorder, by = "country") %>%
  left_join(drug_use_disorders, by = "country") %>%
  left_join(alcohol_use_disorders, by = "country") %>%
  left_join(substance_use_disorders, by = "country") %>%
  left_join(major_depressive_disorder, by = "country") %>%
  left_join(dysthymia, by = "country")

# Display the resulting data frame
print(final_mental_health_index)

# Show the first few rows of the resulting data frame
head(final_mental_health_index)

```
```{r}
indicators <- left_join(final_mental_health_index, hardship, by = "country")
indicators
head(indicators)

new_data <- left_join (WVS_data, indicators, by = "country")
new_data


# Transfrom risk item such that high values represent more risk taking
new_data$risktaking = 6 - new_data$risktaking + 1

  
# Transform risk variable into T-score (mean = 50, sd = 10)
new_data$T_score_risktaking = 10*scale(new_data$risktaking, center=TRUE,scale=TRUE)+50

new_data

#Transform risk variable into Z score 

# Assuming T-scores have a mean of 50 and a standard deviation of 10
new_data$Z_score_risktaking = (new_data$T_score_risktaking - 50) / 10

# Print the resulting data frame
print(new_data)

new_data <- new_data %>%
  group_by(country) %>%
  mutate(z_score_age = scale(age))
new_data
```
```{r}
library(lme4)

library(lme4)

model <- lmer(T_score_risktaking ~ scale(z_score_age) * mental_health +
               gender * mental_health +
               factor(married) + factor(children) +
               factor(education) + factor(employed) +
               (1 + scale(z_score_age) + factor(married) + factor(children) + 
                factor(education) + factor(employed) | country),
             data = new_data, control = lmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 100000)))


summary(model)

# Assuming 'model' is a linear mixed-effects model (lmer), and you want to save coefficients to a CSV file

# Extract coefficients from the model summary
coefficients_df <- data.frame(summary(model)$coefficients)

# Write coefficients to a CSV file
write.csv(coefficients_df, "model_coefficients.csv", row.names = TRUE)

```
```{r}

```


```



